Grocery Market Navigator
June 2026
Monthly Forecast Report
Monthly Forecast Report
Grocery Market
Navigator
Where is the market headed – and why
6-Month Outlook (YOY%)
June 2026 to Nov-2026
US Grocery Sales
+0.9%
US Food Inflation
+3.0%
US Market Units
-2.0%

In the May 2026 forecast the headline was the US/Iran conflict looked to be coming to a close. Goldman Sachs lowered oil price forecasts and all levels of the supply chain from farmers to food inflation fell. For the June 2026 oil prices are going back up although not as much as the initial spike back in March 2026. And as expected all levels of the supply chain are experiencing higher expected prices. Goldman is expecting $80/barrel in 2026 Q4 which is up from $75/barrel. Goldman also bumped the 2027 forecast back up from $70/barrel to $75/barrel. The 2026 YoY increase for oil prices will likely fall between 25%-30%. With these energy price fluctuations, grocery sales is mostly staying the same, but the underlying mix between units and food inflation are fluid. Comparing last months forecast to this month, we are expecting sales to increase from 0.7% to 0.9% but this is being driven by CPI FAH increasing from 2.2% to 3.0% while units are expected to drop from -1.5% to -2.0%.

Grocery Market Navigator — Executive Summary

Sales
The next six months are expected to be softer than the previous 12 months. The Sales TTM YOY% was 2.0%, but the next six months are expected to be only 0.9% which is up 20 basis points over last months forecast. This forecast is below the 3% long run trend. And looking at where an 0.9% sales forecast compares to the historical data, it falls in the lowest decile. This suggests that we are in a weak market but there is a descent chance this forecast is missing on the low side.

Units
The soft sales is driven primarily by units falling about -2.0% in the next six months. The -2.0% July forecast compares to a -1.5% unit decline in the May forecast which is a large shift. The 50 basis point decline is due largely to the CPI FAH expected increase which is being impacted by the uncertainty is the middle east and the shifting energy prices. Like sales YOY, this -2.0% units number is rare and likely missing on the low side.

CPI FAH
Food inflation (CPI FAH) is expected to increase in the next six months by 3.0% which is higher than the May forecast of 2.2%. This is a due to a cease fire and falling energy prices baked into the May forecast and then and end to the cease fire and oil price bouncing back up for the June forecast.

Farm and Food Manufacturing Prices
Farm and Food Manufacturing are the most exposed to energy prices so the renewed fighting and higher oil prices hit these two sections the hardest. Farm prices were forecasted to increase to 3.2% in May forecast, but the June number increased to 6.2% YOY. The Food Manufacturing forecast was 2.5% in May forecast but bumped back up to 3.8% in the June. Both of these large increases reflect the high uncertainty of the current market.

Next Six Months
With oil prices back up, supply chain price growth is impacting unit and sales growth. The last couple of months have seen US sales YOY rebound to 1.8% and 2.3% while units lagged at -0.2% and -0.7%. The model is pointing to more downward pressure on both units and sales due to soft Real Disposable Income and Housing Prices. In addition, the SNAP and pharmacy declines are further weighing on growth. The long run trend for grocery sales is ~3% YOY and the forecast is coming in at 0.9% based on a combination of 3.0% CPI FAH and -2.0% units YOY. The model is likely missing to the low side but clearly shows the market is weak and also confident that we will be fortunate to hit 1.5% YOY sales growth for 2026.

Why this agreement will hold...but did not
In May I said with confidence "This agreement will hold" because if it does not things will turn ugly. I likely overplayed the oil reserves card but there have been mixed messaging. Even in the last few weeks we have the WSJ saying US strategic reserves will be largely exhausted by September but IEA saying there are still about 1 Billion barrels in government reserves across the globe. In addition, I stated that food manufacturers and grocery retailers can only compress margins for so long, so their reserves are also being tested. We will see if this hypothesis is true as retailers and CPG's report their financials in the upcoming months. And the main reason I thought the agreement would hold was because it is a mid term election year. I wrongly assumed the administration would lock in a deal. Everything did not fit into my nicely trimmed box, but if the unpopular war continues and prices remain elevated, mid-term elections will be challenging for the incumbent party.

US Grocery Sales
+2.0% | +0.9%
TTM  |  6-Mo Fcst
US Grocery Units
-0.4% | -2.0%
TTM  |  6-Mo Fcst
CPI Food-at-Home
+2.4% | +3.0%
TTM  |  6-Mo Fcst
PPI Food Manufacturing
+2.8% | +3.8%
TTM  |  6-Mo Fcst
PPI Farm Products
+2.7% | +6.2%
TTM  |  6-Mo Fcst
OUTLOOK

PPI Farm Products – 6 Month YOY Outlook

+2.9% | +6.2%
ttm | 6-mo fcst

Before the conflict, farm product prices trended sharply lower peaking at 15.4% YOY in Feb-2025 and bottoming at -7.5% YOY in Jan-2026. As expected farm product prices have started to rebound and hit 4.4% YOY growth in Apr-2026. The pre-conflict deflation was driven by declining oil prices and falling food import prices but both of are now reversing.

Over the six-month forecast period, PPI Farm Products is projected to average +6.2% year-over-year, more than double the trailing twelve-month pace of +2.9%, with oil prices acting as the dominant force behind that acceleration. Oil prices, averaging a 36.5% gain over the lead period, contribute 4.77 percentage points to the forecast — the clearest sign that crude's run-up is now flowing through to farm input costs at full force. Food import prices add a secondary 1.57 percentage points on the strength of a 2.2% average increase, while natural gas contributes a modest 0.07 percentage points and is not a meaningful factor in this cycle. Critically, even these elevated forecast readings understate the true pricing pressure building in the system: PPI Farm Products swung from a peak of +8.5% year-over-year in October 2025 down to -4.7% in January 2026, and that sharp prior deflation is now acting as a statistical cushion that suppresses the year-over-year readings — absent that low comparison base, the forecast figures would appear significantly more alarming to buyers and procurement teams watching headline numbers.

PPI Farm Products Fan Forecast YOY
PPI Farm Products Distribution
Forecast Distribution Simulation

This distribution is built on 1,000 simulations using holdout errors from the rolling validation period. Small differences between the point forecast and the simulated median may occur as a result.

The median forecast is +7.9% with a forecast distribution of +/- 5.5%. We would expect Ppi Farm Products to fall between +3.1% and +14.0% over the next six months.

INPUTS

PPI Farm Products – Inputs

Forecast Decomposition — 6-Month Average Contribution
VariableAvg Input (YoY%)Contribution (ppts)% of Total
Oil Prices+36.5%▲ 4.77 ppts+74%
Food Import Prices+2.2%▲ 1.57 ppts+24%
Natural Gas Prices+0.9%▲ 0.07 ppts+1%
Structural Offset (model constant)+1.0%▼ 0.24 ppts
Total Forecast▲ 6.17 ppts100%
Oil Prices (Lead 1)
Oil Prices (Lead 1)

Oil prices are expected to average +36.5% year-over-year over the next six months, a level that is trending higher and will bear down on farm input costs with increasing force. That surge accounts for +4.77 percentage points of the total movement in PPI Farm Products, representing 74% of all input cost pressure in the forecast period.

Natural Gas Prices (Lead 2)
Natural Gas Prices (Lead 2)

Natural gas prices are expected to average +0.9% year-over-year over the next six months, a reading that is trending upward from current levels. That modest gain adds approximately +0.07 percentage points to the farm input cost forecast, accounting for roughly 1% of total input cost movement over the period.

Food Import Prices
Food Import Prices

Food import prices are expected to average +2.2% year-over-year over the next six months, a trajectory that is headed higher and will add further pressure to PPI Farm Products as oil-driven shipping and production costs filter through from global suppliers. This rising import price trend is forecast to contribute +1.57 percentage points to total farm input cost movement, accounting for 24% of the overall input pressure tracked in this outlook.

MODEL PERFORMANCE

PPI Farm Products – Model Performance

24-Month Holdout
24-Month Holdout

Over the 24-month holdout period, the model produced a mean absolute error of 6.57 percentage points, meaning that on average, forecasts of PPI Farm Products year-over-year change landed within roughly 6.6 points of the actual reading. For a series that can swing dramatically with weather, commodity shocks, and supply chain disruptions, that level of precision is useful for directional guidance but carries meaningful uncertainty at the margin.

Rolling Error
Holdout Errors Over Time

Rolling errors ranged from 2.9 to 11.1 percentage points across the holdout window, with the widest misses clustering around January 2025. That peak in error is consistent with what drives this model — oil prices and natural gas prices are both fast-moving and subject to sharp reversals, and when those inputs shift quickly, even a well-specified model can lag the pace of the underlying move.

OLS Regression Results
R-squared: 0.669 Adj. R-sq: 0.658
F-statistic: 65.21 Prob(F): 3.59e-23
No. Observations: 101 Df Residuals: 97
VariableCoefStd ErrtP>|t|[0.025, 0.975]
const-0.26510.993-0.2670.790[-2.236, 1.706]
oil_prices_lead1_yoy0.09600.0253.8230.000[0.046, 0.146]
nat_gas_prices_lead2_yoy0.10970.0215.2890.000[0.069, 0.151]
import_index_yoy0.63240.2592.4450.016[0.119, 1.146]
Omnibus: 0.183 Prob(Omnibus): 0.913 Durbin-Watson: 0.421
Skew: 0.009 Kurtosis: 3.049  
Model Performance

The model's R-squared of 0.669 indicates it explains approximately two-thirds of the historical variation in PPI Farm Products, a reasonable fit for a commodity-driven series with known idiosyncratic noise. All three inputs — oil prices lagged one month, natural gas prices lagged two months, and the import price index — carry t-statistics above 2.0, confirming they are statistically significant contributors to the forecast. The Omnibus probability of 0.913 sits well above the 0.05 threshold, meaning the model's residuals are normally distributed and the error structure is well-behaved. The Durbin-Watson statistic of 0.421 is notably below the ideal range near 2.0, signaling positive autocorrelation in the residuals — consecutive errors tend to run in the same direction, which suggests the model may be slow to fully adjust when the series moves through a sustained trend, and forecast users should keep that limitation in mind.

OUTLOOK

PPI Food Manufacturing – 6 Month YOY Outlook

+2.9% | +3.8%
ttm | 6-mo fcst

Prior to the conflict, food manufacturing prices followed farm products lower. PPI Food Manufacturing peaked at 4.9% YOY in Oct-2025 and dropped to 0.8% by Feb-2026, driven by falling farm input costs, declining oil prices, softer manufacturing wages, and weak food import prices. But food manufacturing pricesare reversing course as expected but not as significantly as farm products.

Over the next six months, PPI Food Manufacturing is forecast to average plus 3.8% year-over-year, a meaningful step up from the trailing twelve-month average of plus 2.9%, with the trajectory accelerating sharply as the period progresses from plus 1.5% in June to plus 5.0% by September. Manufacturing wages are the dominant force, contributing plus 4.20 percentage points on an average input pace of plus 4.5%, reflecting persistent labor cost pressures embedded throughout the processing and packaging supply chain. Oil prices, averaging plus 32.6% over the forecast window, add a further plus 0.94 percentage points by driving up energy-intensive production costs, transportation, and packaging inputs, while upstream farm commodity prices contribute an additional plus 1.12 percentage points — meaning oil is amplifying pressure at multiple stages of the cost stack simultaneously. Food import prices, averaging minus 0.8%, subtract a modest 0.15 percentage points, and a structural offset of minus 2.29 percentage points moderates the headline reading, but neither is sufficient to neutralize the wage and oil-driven surge. Critically, even these elevated forecasts understate the true pricing pressure now building: PPI Food Manufacturing peaked at plus 4.9% year-over-year in September 2025 before bottoming at just plus 0.9% in January 2026, and that sharp prior deflation has created a depressed comparison base that is artificially cushioning current year-over-year readings — absent that trough, the forecast figures would look considerably more alarming than the headline numbers suggest.

PPI Food Manufacturing Fan Forecast YOY
PPI Food Manufacturing Distribution
Forecast Distribution Simulation

This distribution is built on 1,000 simulations using holdout errors from the rolling validation period. Small differences between the point forecast and the simulated median may occur as a result.

The median forecast is +3.9% with a forecast distribution of +/- 1.2%. We would expect Ppi Food Mfg to fall between +2.8% and +5.2% over the next six months.

INPUTS

PPI Food Manufacturing – Inputs

Forecast Decomposition — 6-Month Average Contribution
VariableAvg Input (YoY%)Contribution (ppts)% of Total
Manufacturing Wages+4.5%▲ 4.20 ppts+66%
PPI Farm Products+6.1%▲ 1.12 ppts+17%
Oil Prices+32.6%▲ 0.94 ppts+15%
Food Import Prices-0.8%▼ 0.15 ppts-2%
Structural Offset (model constant)+1.0%▼ 2.29 ppts
Total Forecast▲ 3.82 ppts100%
PPI Farm Products (Lead 1)
PPI Farm Products (Lead 1)

Farm Products prices are forecast to average +6.1% year-over-year over the next six months, with the trajectory continuing to climb. That increase contributes +1.12 percentage points to the PPI Food Manufacturing forecast, accounting for 17% of total input movement — though it is worth noting that this reading is measured against the depressed trough of a V-shaped cycle, meaning the true pricing pressure is likely understated, and absent that prior deflation the year-over-year figure would appear meaningfully higher.

Food Import Prices (Lead 3)
Food Import Prices (Lead 3)

Food import prices are averaging -0.8% year-over-year across the forecast period, a deflationary read that is nevertheless trending upward from its trough. That -0.8% average subtracts 0.15 percentage points from the PPI Food Manufacturing forecast — a relatively contained drag representing 2% of total input movement, though the V-shape in this series means the true underlying pricing pressure is more acute than the year-over-year figure suggests, since the prior deflation trough is acting as a cushion that flatters the current comparison base.

Manufacturing Wages (Lead 1)
Manufacturing Wages (Lead 1)

Manufacturing wages are forecast to average +4.5% year-over-year over the next six months, a rate that is still climbing and that understates the true pricing pressure because it is being measured against the depressed trough of 0.9% reached in January 2026 — meaning the rebound in level terms is considerably stronger than the headline figure suggests. This single input is contributing +4.20 percentage points to the PPI Food Manufacturing forecast, representing 66% of total input movement and making it the dominant cost force grocery executives need to watch in the period ahead.

Oil Prices (Lead 4)
Oil Prices (Lead 4)

Crude oil prices are forecast to average +32.6% year-over-year over the next six months, a level that is continuing to climb and feeding directly into food manufacturing input costs at every stage of production. That sustained oil price surge is contributing +0.94 percentage points to the PPI Food Manufacturing forecast, accounting for 15% of total input movement — and because the comparison base includes the deflation trough of 0.9% recorded in January 2026, the true pricing pressure on manufacturers is meaningfully stronger than the headline year-over-year numbers suggest.

MODEL PERFORMANCE

PPI Food Manufacturing – Model Performance

24-Month Holdout
24-Month Holdout

Over the 24-month holdout period, the model produced a mean absolute error of 1.55 percentage points, meaning that on average the forecast landed within roughly one and a half points of the actual PPI Food Manufacturing reading. For a series that swung sharply during the post-pandemic inflation cycle, that margin represents a reasonably tight fit and gives executives a reliable order-of-magnitude signal for planning purposes.

Rolling Error
Holdout Errors Over Time

Rolling errors ranged from 0.5 to 2.7 percentage points across the holdout window, with the largest misses clustering around July 2024. That peak likely reflects the model's sensitivity to fast-moving upstream inputs — particularly oil prices and farm product prices — which can shift direction or magnitude faster than any fixed-lag structure can fully capture, compressing the model's ability to track inflection points in real time.

OLS Regression Results
R-squared: 0.899 Adj. R-sq: 0.893
F-statistic: 168.57 Prob(F): 1.27e-45
No. Observations: 101 Df Residuals: 95
VariableCoefStd ErrtP>|t|[0.025, 0.975]
const-2.75810.602-4.5830.000[-3.953, -1.563]
ppi_farm_products_lead1_yoy0.17940.01611.4650.000[0.148, 0.210]
import_index_lead3_yoy0.26260.0614.2820.000[0.141, 0.384]
mfg_wages_lead1_yoy1.05940.1706.2160.000[0.721, 1.398]
oil_prices_lead4_yoy0.02670.0055.5300.000[0.017, 0.036]
covid2.38820.6223.8370.000[1.153, 3.624]
Omnibus: 4.654 Prob(Omnibus): 0.098 Durbin-Watson: 1.382
Skew: 0.475 Kurtosis: 3.256  
Model Performance

The model's R-squared of 0.899 means it explains nearly 90 percent of the historical variation in PPI Food Manufacturing, a strong result for a macroeconomic price series. Every input clears the significance threshold by a wide margin — each t-statistic sits well above 2.0, with oil prices at 5.53, farm products at 11.47, manufacturing wages at 6.22, and import prices at 4.28, confirming that none of these variables are noise. The Omnibus probability of 0.098 sits above the 0.05 threshold, indicating the residuals are close enough to normally distributed that standard inference holds. The Durbin-Watson statistic of 1.382 is somewhat below the ideal value of 2.0, suggesting a mild degree of positive autocorrelation in the residuals — worth monitoring, though not severe enough to invalidate the model's directional forecasts.

OUTLOOK

CPI Food-at-Home – 6 Month YOY Outlook

+2.4% | +3.0%
ttm | 6-mo fcst

Food inflation was also softening ahead of the conflict peaking at 2.7% YOY in Aug-2025, and hitting 2.0% in Feb-2026. That pre-conflict decline was driven by falling farm and food manufacturing costs working through the supply chain. The other key drivers — PPI Grocery Retail, stable around 3.0% YOY, and retail wages, trending up since Jan-2025 — were providing some upward momentum. The result was a slow, measured decline heading into the conflict. But we are starting to see, the recent higher farm and food manufacturing prices are starting to push food inflation higher.

Over the next six months, CPI Food-at-Home is forecast to average +3.0% year-over-year, a meaningful step up from the +2.4% recorded over the trailing twelve months, with the path running from +2.9% in June to a peak of +3.4% in August before easing back toward the high twos in September and October and recovering to +3.1% by November. The dominant pressure comes from PPI Grocery Retail, where average input inflation of +4.5% contributes +1.81 percentage points to the forecast, reflecting the degree to which upstream cost pressures — rooted in oil-driven farm input and logistics costs — have already worked their way into the retail supply chain. Retail wages, running at +3.4% on average, add a further +1.58 percentage points, and PPI Food Manufacturing at +4.3% contributes an additional +1.43 percentage points, meaning the raw push from costs and labor alone would otherwise place headline FAH inflation considerably higher than what consumers will actually see at the shelf. A structural offset of -1.83 percentage points — the largest single counterforce in the model — captures the same dynamic that has kept FAH inflation remarkably contained through early 2026: slowing retail wage growth relative to prior cycles and measurable margin compression by grocery retailers absorbing cost increases rather than fully passing them through, a pattern that held FAH in a narrow +2.0% to +2.7% range even as upstream indices climbed sharply.

CPI Food-at-Home Fan Forecast YOY
CPI Food-at-Home Distribution
Forecast Distribution Simulation

This distribution is built on 1,000 simulations using holdout errors from the rolling validation period. Small differences between the point forecast and the simulated median may occur as a result.

The median forecast is +3.1% with a forecast distribution of +/- 0.6%. We would expect Cpi Fah to fall between +2.6% and +3.9% over the next six months.

INPUTS

CPI Food-at-Home – Inputs

Forecast Decomposition — 6-Month Average Contribution
VariableAvg Input (YoY%)Contribution (ppts)% of Total
PPI Grocery Retail+4.5%▲ 1.81 ppts+38%
Retail Wages+3.4%▲ 1.58 ppts+33%
PPI Food Manufacturing+4.3%▲ 1.43 ppts+30%
Structural Offset (model constant)+1.0%▼ 1.83 ppts
Total Forecast▲ 2.99 ppts100%
PPI Food Manufacturing (Lead 1)
PPI Food Manufacturing (Lead 1)

PPI Food Manufacturing is forecast to average +4.3% year-over-year over the next six months, with the index trending higher as oil-driven input costs continue to work their way through the production chain. That pressure is expected to contribute +1.43 percentage points to the CPI Food-at-Home forecast, accounting for 30% of total upstream input movement, though its full pass-through to shelf prices is being partially absorbed by slowing retail wage growth and margin compression at the grocery level.

PPI Grocery Retail
PPI Grocery Retail

PPI Grocery Retail is forecast to average +4.5% year-over-year over the next six months, with the index continuing to move higher as upstream cost pressures from oil-driven farm and manufacturing inputs increasingly pass through to the retail shelf. This measure contributes an estimated +1.81 percentage points to the CPI Food-at-Home forecast, representing 38% of total input movement and making it the single largest driver of the outlook.

Retail Wages (Lead 3)
Retail Wages (Lead 3)

Retail wage growth is expected to average +3.4% year-over-year over the next six months, a pace that continues to moderate and is acting as a partial offset to upstream cost pressures working their way through the supply chain. Even so, wages still contribute an estimated +1.58 percentage points to the forecast — representing 33% of total input movement — meaning labor remains a meaningful floor under food-at-home inflation even as its influence gradually fades.

MODEL PERFORMANCE

CPI Food-at-Home – Model Performance

24-Month Holdout
24-Month Holdout

Over the 24-month holdout period, the model produced a mean absolute error of 0.82 percentage points against actual CPI Food-at-Home readings. In practical terms, this means that on any given month the model's forecast was, on average, within roughly four-fifths of a percentage point of the reported figure — a reasonable margin for a macro-driven inflation model operating across a volatile post-pandemic period.

Rolling Error
Holdout Errors Over Time

Rolling 12-month errors ranged from a low of 0.4 percentage points to a high of 1.1 percentage points across the holdout window, with the largest errors clustering around December 2025. That peak likely reflects a period when one or more of the model's key inputs — PPI food manufacturing, grocery wholesale prices, or retail wages — moved sharply or quickly, since fast-moving upstream variables tend to introduce timing mismatches that widen near-term forecast errors before the signal stabilizes.

OLS Regression Results
R-squared: 0.889 Adj. R-sq: 0.884
F-statistic: 192.09 Prob(F): 6.72e-45
No. Observations: 101 Df Residuals: 96
VariableCoefStd ErrtP>|t|[0.025, 0.975]
const-2.39620.380-6.3070.000[-3.150, -1.642]
ppi_food_mfg_lead1_yoy0.35770.03111.6490.000[0.297, 0.419]
ppi_grocery_yoy0.51520.03116.5610.000[0.453, 0.577]
retail_wages_lead3_yoy0.38840.1043.7470.000[0.183, 0.594]
covid1.27580.5202.4510.016[0.243, 2.309]
Omnibus: 0.733 Prob(Omnibus): 0.693 Durbin-Watson: 1.060
Skew: 0.183 Kurtosis: 2.742  
Model Performance

The model's R-squared of 0.889 means it explains approximately 89 percent of the historical variation in CPI Food-at-Home, which is a strong fit for a consumer inflation series with this many moving parts. Every input is statistically significant, with t-statistics well above the 2.0 threshold — PPI food manufacturing comes in at 11.6, grocery wholesale prices at 16.6, retail wages at 3.7, and the COVID dummy at 2.5 — indicating that none of these variables are along for the ride by chance. The Omnibus probability of 0.693 is comfortably above 0.05, meaning the model's residuals are normally distributed and the error structure is well-behaved. The Durbin-Watson statistic of 1.06 is somewhat below the ideal reading of 2.0, suggesting mild positive autocorrelation in the residuals, which is not uncommon in monthly inflation models and is worth monitoring but does not materially compromise the forecast.

OUTLOOK

US Grocery Units – 6 Month YOY Outlook

-0.4% | -2.0%
ttm | 6-mo fcst

US Grocery Market Units have been trending down YOY since early 2025 and bottomed out at -3.0% just ahead of the conflict.The last 12 months were down -0.5%, but the first half of the year was much stronger than the last half. The higher CPI FAH number in Apr-2026 helped to keep unit growth down about 1.4% YOY.

Over the six months ending November 2026, US grocery unit volume is forecast to average -2.1% year-over-year, a meaningful deterioration from the trailing twelve-month average of -0.4%, and a sharp reversal from the roughly 2% growth seen in late 2024 and early 2025. The dominant force driving that decline is food-at-home inflation, which is projected to average 3.0% over the forecast window and alone subtracts 2.43 percentage points from unit growth — as higher shelf prices compress purchase volumes, consumers either trade down in pack size or skip categories entirely. SNAP benefit erosion, averaging -13.3%, adds a further -0.19 point drag, as lower transfer payments reduce purchasing power among the program's roughly 42 million participants and pull down unit counts in the categories they over-index. Partially offsetting these headwinds, pharmacy revenue growth of 2.6% contributes +0.19 points — reflecting the pull-through traffic benefit that pharmacy visits generate for general grocery aisles — while home price appreciation of 0.5% adds a modest +0.17 points by supporting household wealth and discretionary spending at the margin, though neither offset comes close to neutralizing the inflation-driven volume loss.

US Grocery Units Fan Forecast YOY
US Grocery Units Distribution
Forecast Distribution Simulation

This distribution is built on 1,000 simulations using holdout errors from the rolling validation period. Small differences between the point forecast and the simulated median may occur as a result.

The median forecast is -2.2% with a forecast distribution of +/- 0.5%. We would expect Units Mkt Trend to fall between -2.7% and -1.8% over the next six months.

INPUTS

US Grocery Units – Inputs

Forecast Decomposition — 6-Month Average Contribution
VariableAvg Input (YoY%)Contribution (ppts)% of Total
CPI Food-at-Home+3.0%▼ 2.43 ppts-79%
Snap Cost-13.3%▼ 0.19 ppts-6%
Pharmacy Revenue+2.6%▲ 0.19 ppts+6%
Home Prices+0.5%▲ 0.17 ppts+6%
Real Disposable Income-0.3%▼ 0.11 ppts-4%
Total Forecast▼ 2.37 ppts100%
CPI Food-at-Home
CPI Food-at-Home

CPI Food-at-Home is forecast to average +3.0% year-over-year across the next six months, a level that represents a meaningful acceleration from the trough and is expected to climb further as oil-driven input costs work their way through the supply chain. That inflation pressure is the dominant force compressing grocery unit volumes, subtracting 2.43 percentage points from the unit growth forecast and accounting for 79% of the total negative input movement across the period.

Real Disposable Income
Real Disposable Income

Real disposable income is forecast to average -0.3% year-over-year over the next six months, a trajectory that continues to move against the consumer. This drag subtracts 0.11 percentage points from the grocery unit forecast, accounting for 4% of total input movement across the model.

Home Prices
Home Prices

Over the next six months, home prices are expected to average +0.5% year-over-year growth, a rate that is trending upward and providing modest lift to grocery unit demand as rising household wealth supports consumer spending. This dynamic contributes an estimated +0.17 percentage points to the unit forecast, accounting for roughly 6% of total input movement across all drivers.

MODEL PERFORMANCE

US Grocery Units – Model Performance

24-Month Holdout
24-Month Holdout

Over the 24-month holdout period, the model produced a mean absolute error of just 0.01 percentage points, meaning that on average the forecast for US grocery unit growth deviated from the actual reading by essentially a rounding difference. For a measure as volatile as consumer purchasing volume, that level of precision gives executives a reliable baseline for operational and inventory planning.

Rolling Error
Holdout Errors Over Time

Rolling errors across the holdout ranged between 0.4 and 1.0 percentage points, with the widest gaps appearing around December 2025. That timing is consistent with what this model is built on: when key inputs like food-at-home CPI or real disposable income move sharply and quickly — as they tend to do during inflationary inflection points — even a well-specified model will lag slightly in capturing the speed of the shift, producing temporarily larger errors before the signal stabilizes.

OLS Regression Results
R-squared: 0.889 Adj. R-sq: 0.882
F-statistic: 126.08 Prob(F): 1.03e-42
No. Observations: 101 Df Residuals: 94
VariableCoefStd ErrtP>|t|[0.025, 0.975]
const22.32381.15919.2670.000[20.023, 24.624]
cpi_fah_log-0.82220.071-11.6330.000[-0.963, -0.682]
rdi_log0.34640.1282.7080.008[0.092, 0.600]
home_price_log0.34860.0724.8690.000[0.206, 0.491]
snap_cost_log0.01320.0101.3660.175[-0.006, 0.032]
pharm_drug_log0.09900.0402.4940.014[0.020, 0.178]
covid0.03360.0074.7520.000[0.020, 0.048]
Omnibus: 112.201 Prob(Omnibus): 0.000 Durbin-Watson: 2.075
Skew: 3.450 Kurtosis: 27.932  
Model Performance

The model's R-squared of 0.889 means it accounts for nearly 89 percent of the observed variation in US grocery unit growth over the estimation period, which is a strong result for a consumer behavior series with this many competing influences. Most inputs clear the significance threshold comfortably — food-at-home CPI, real disposable income, home prices, pharmaceutical drug costs, and the COVID indicator all carry t-statistics above 2.0, confirming they are reliably contributing to the forecast rather than adding noise. SNAP costs are the exception, with a t-statistic of 1.37, suggesting that variable's marginal contribution is less stable and should be interpreted with some caution. The Omnibus probability of 0.000 indicates the residuals are not normally distributed — skewness of 3.45 points to occasional large misses on one side — though the Durbin-Watson statistic of 2.075 sits close enough to 2.0 to confirm there is no meaningful autocorrelation in the errors, meaning the model is not systematically leaning in one direction over time.

OUTLOOK

US Grocery Sales – 6 Month YOY Outlook

+2.0% | +0.9%
ttm | 6-mo fcst

Sales were solid in 2024 and the first eight months of 2025, but the last six months have seen YOY sales drop precipitously. The long-run trend for grocery is about 3% YOY with 2% growth typically coming from CPI FAH and the other 1% from unit growth. CPI FAH reversed course in Apr-2026 which helped Sales growth tick up to a meager 1.5% YOY in April.

The six-month forecast for US grocery sales averages +0.9% year-over-year, a meaningful step down from the trailing twelve-month average of +2.0%, reflecting a market that has moved well past its growth peak of +3.8% in late 2024 and early 2025. The dominant driver sustaining positive territory is CPI food-at-home inflation, contributing +3.00 percentage points to the forecast as food prices remain elevated — a figure that, on its own, would suggest a healthy sales environment. Working directly against that, weakening unit volumes subtract 2.05 percentage points, meaning consumers are buying less even as they spend more, a classic sign of price-driven revenue rather than demand-driven growth. The net result is a sales trajectory that decelerates from +1.3% in June 2026 down to +0.6% by October before a modest uptick to +0.8% in November, leaving grocery executives in a difficult position where inflation is effectively doing the heavy lifting while underlying consumer demand continues to erode.

US Grocery Sales Fan Forecast YOY
US Grocery Sales Distribution
Forecast Distribution Simulation

This distribution is built on 1,000 simulations using holdout errors from the rolling validation period. Small differences between the point forecast and the simulated median may occur as a result.

The median forecast is +0.6% with a forecast distribution of +/- 0.8%. We would expect Sales Mkt Trend to fall between -0.2% and +1.4% over the next six months.

INPUTS & PERFORMANCE

US Grocery Sales – Inputs and Performance

Forecast Decomposition — 6-Month Average Contribution
VariableAvg Input (YoY%)Contribution (ppts)% of Total
CPI Food-at-Home+3.0%▲ 3.00 ppts+59%
US Grocery Units-2.0%▼ 2.05 ppts-41%
Total Forecast▲ 0.95 ppts100%
US Grocery Units
US Grocery Units

Grocery unit volumes are expected to average -2.0% year-over-year across the six-month forecast period, with the trajectory continuing to deteriorate from current levels. This unit weakness is projected to subtract 2.05 percentage points from grocery sales growth, accounting for 41% of the total input movement driving the forecast lower.

CPI Food-at-Home
CPI Food-at-Home

CPI Food-at-Home is forecast to average +3.0% year-over-year across the next six months, with the trajectory continuing to climb from its February 2026 trough. That inflation rate contributes +3.00 percentage points to the grocery sales forecast, accounting for 59% of total input movement over the period.

Forecast Errors

US Grocery Sales is a derived model, calculated as the product of US Grocery Units and Average Price (CPI Food-at-Home), which means it carries no standalone holdout MAE or OLS regression statistics of its own. The forecast distribution implies an uncertainty band of approximately 0.8 percentage points on either side of the median, spanning -0.2% to 1.4% at the 90% confidence level. That range reflects the compounded uncertainty from two upstream models, each carrying its own estimation error.

The median forecast sits at 0.6%, while the point forecast of 0.9% falls in the upper half of the 90% confidence interval, which runs from -0.2% to 1.4%. In practical terms, this means the most likely outcome is modest positive sales growth, but the downside scenario — where units weakness or a further softening in food-at-home prices drags the reading into slightly negative territory — cannot be ruled out with confidence. The asymmetric position of the point forecast above the median also suggests the distribution carries a modest upside skew, meaning the scenarios that push sales growth higher are somewhat more extreme than those pulling it lower.

Because US Grocery Sales is derived entirely from the Units and CPI Food-at-Home models, the accuracy of this sales forecast depends completely on how well those two upstream components perform individually. Any systematic bias in either the units model or the price model will flow directly into the sales figure, with no independent mechanism to correct for it. Readers seeking R-squared values, holdout MAE, and other diagnostic statistics should refer to the dedicated model performance sections for US Grocery Units and CPI Food-at-Home elsewhere in this issue.