General Mills (GIS) Cash from Operations (2009 - 2026)
General Mills (GIS) recorded Cash from Operations of $297.8 million in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 25.0% from $397 million a year earlier and down 46.1% from the prior quarter.
General Mills (GIS) Cash from Operations (2009 - 2026) Analysis & Trends
On a TTM basis, General Mills' Cash from Operations came in at $2.07 billion as of Aug 30, 2026, down 23.2% year-over-year; for FY2026 (ended May 31, 2026), it came in at $2.17 billion, down 25.8% from FY2025.
- Annual Cash from Operations has a five-year compound annual growth rate of -6.2% (FY2021 to FY2026).
- Across earlier fiscal years, Cash from Operations came in at $2.92 billion in FY2025 (-11.6%), $3.3 billion in FY2024 (+18.9%), $2.78 billion in FY2023 (-16.2%) and $3.32 billion in FY2022 (+11.2%).
- The fiscal Q1 2027 figure is the lowest quarterly Cash from Operations since fiscal Q4 2011.
- On a year-over-year basis, Cash from Operations has declined for seven consecutive quarters, with an average decline of 24.4% over the last eight quarters.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 65.1% in fiscal Q1 2025, against a decline of 43.6% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $552 million (Q4 2026), $397.9 million (Q3 2026) and $819.3 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 855.00 Mn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 419.32 Mn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 1.08 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 297.80 Mn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 425.70 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 379.80 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 240.60 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 137.40 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | -4.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 297.80 Mn |
| May 31, 2026 | 552.00 Mn |
| Feb 22, 2026 | 397.90 Mn |
| Nov 23, 2025 | 819.30 Mn |
| Aug 24, 2025 | 397.00 Mn |
| May 25, 2025 | 611.60 Mn |
| Feb 23, 2025 | 531.90 Mn |
| Nov 24, 2024 | 1.15 Bn |
| Aug 25, 2024 | 624.20 Mn |
| May 26, 2024 | 863.70 Mn |
| Feb 25, 2024 | 943.10 Mn |
| Nov 26, 2023 | 1.12 Bn |
| Aug 27, 2023 | 378.10 Mn |
| May 28, 2023 | 751.60 Mn |
| Feb 26, 2023 | 826.30 Mn |
| Nov 27, 2022 | 811.90 Mn |
| Aug 28, 2022 | 388.80 Mn |
| May 29, 2022 | 1.09 Bn |
| Feb 27, 2022 | 730.30 Mn |
| Nov 28, 2021 | 1.13 Bn |
General Mills Cash from Operations 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=cash-from-operations&ticker=GIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();