General Mills (GIS) Cash & Equivalents (2009 - 2026)
General Mills (GIS) reported Cash & Equivalents of $433.1 million for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 54.5% from $952.9 million a year earlier and down 4.6% from the prior quarter.
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Analysis
General Mills (GIS) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), General Mills posted Cash & Equivalents of $453.8 million, up 24.7% from FY2025.
- Cash & Equivalents has a five-year compound annual growth rate of -21.3% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $363.9 million in FY2025 (-12.9%), $418 million in FY2024 (-28.6%), $585.5 million in FY2023 (+2.8%) and $569.4 million in FY2022 (-62.2%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Cash & Equivalents since fiscal Q4 2025.
- Year over year, Cash & Equivalents gained in four of the last eight quarters, with growth averaging 39.5%.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q2 2025 (growth of 286.1%); the low point was fiscal Q2 2026 (a decline of 70.2%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $453.8 million (Q4 2026), $785.5 million (Q3 2026) and $683.4 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | 5.49 Bn |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 1.72 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 791.21 Mn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 2.42 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 433.10 Mn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 43.20 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 331.10 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 839.64 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 611.00 Mn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn | 371.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 433.10 Mn |
| May 31, 2026 | 453.80 Mn |
| Feb 22, 2026 | 785.50 Mn |
| Nov 23, 2025 | 683.40 Mn |
| Aug 24, 2025 | 952.90 Mn |
| May 25, 2025 | 363.90 Mn |
| Feb 23, 2025 | 521.30 Mn |
| Nov 24, 2024 | 2.29 Bn |
| Aug 25, 2024 | 468.10 Mn |
| May 26, 2024 | 418.00 Mn |
| Feb 25, 2024 | 588.60 Mn |
| Nov 26, 2023 | 593.80 Mn |
| Aug 27, 2023 | 490.90 Mn |
| May 28, 2023 | 585.50 Mn |
| Feb 26, 2023 | 618.70 Mn |
| Nov 27, 2022 | 644.10 Mn |
| Aug 28, 2022 | 594.40 Mn |
| May 29, 2022 | 569.40 Mn |
| Feb 27, 2022 | 844.40 Mn |
| Nov 28, 2021 | 1.14 Bn |
API Access
General Mills Cash & Equivalents 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-and-equivalents&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();