General Mills (GIS) Change in Inventory (2009 - 2026)
General Mills (GIS) recorded Change in Inventory of $261.1 million in fiscal Q1 2027 (quarter ended Aug 30, 2026), up 93.1% from $135.2 million a year earlier and up 17.2% from the prior quarter.
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Analysis
General Mills (GIS) Change in Inventory (2009 - 2026) Analysis & Trends
On a TTM basis, General Mills' Change in Inventory came in at $208.1 million as of Aug 30, 2026, up 258.8% year-over-year; for FY2026 (ended May 31, 2026), it was $82.2 million, up 344.3% from FY2025.
- Annual Change in Inventory has a five-year compound annual growth rate of -25.4% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Inventory came in at $18.5 million in FY2025, -$287.6 million in FY2024, $319 million in FY2023 (+271.8%) and $85.8 million in FY2022 (-75.8%).
- The fiscal Q1 2027 figure is the highest quarterly Change in Inventory since fiscal Q1 2016.
- On a year-over-year basis, Change in Inventory rose in four of the last five quarters, with growth averaging 52.0%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 258.7% in fiscal Q4 2022, against a decline of 89.4% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $222.8 million (Q4 2026), -$283.6 million (Q3 2026) and $7.8 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 330.00 Mn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 314.42 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 33.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 261.10 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 61.10 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 41.40 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 57.43 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | -83.10 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 248.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 261.10 Mn |
| May 31, 2026 | 222.80 Mn |
| Feb 22, 2026 | -283.60 Mn |
| Nov 23, 2025 | 7.80 Mn |
| Aug 24, 2025 | 135.20 Mn |
| May 25, 2025 | 78.00 Mn |
| Feb 23, 2025 | -229.00 Mn |
| Nov 24, 2024 | 73.80 Mn |
| Aug 25, 2024 | 95.70 Mn |
| May 26, 2024 | 60.20 Mn |
| Feb 25, 2024 | -334.00 Mn |
| Nov 26, 2023 | -68.10 Mn |
| Aug 27, 2023 | 54.30 Mn |
| May 28, 2023 | 82.00 Mn |
| Feb 26, 2023 | -41.50 Mn |
| Nov 27, 2022 | 35.20 Mn |
| Aug 28, 2022 | 243.30 Mn |
| May 29, 2022 | 188.30 Mn |
| Feb 27, 2022 | -93.30 Mn |
| Nov 28, 2021 | -125.30 Mn |
API Access
General Mills Change in Inventory API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=change-in-inventory&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "GIS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-inventory&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();