General Mills (GIS) EBITDA (2009 - 2026)
General Mills' EBITDA was $773.4 million in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 58.5% from $1.86 billion a year earlier.
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Analysis
General Mills (GIS) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Mills' EBITDA was $349.9 million through Aug 30, 2026, down 92.6% year-over-year; for FY2026 (ended May 31, 2026), it came in at $1.44 billion, down 62.5% from FY2025.
- EBITDA shows a five-year compound annual growth rate of -17.4% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $3.84 billion in FY2025 (-3.5%), $3.98 billion in FY2024 (+0.1%), $3.98 billion in FY2023 (-1.6%) and $4.05 billion in FY2022 (+8.0%).
- Quarterly EBITDA has moved between -$1.95 billion (fiscal Q4 2026) and $1.86 billion (fiscal Q1 2026) over five years.
- Compared with a year earlier, EBITDA was higher in two of the last seven quarters, with an average decline of 5.0%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q1 2026 (growth of 92.0%); the worst was fiscal Q1 2027 (a decline of 58.5%).
- Per Business Quant data, GIS's EBITDA in the three fiscal quarters before Q1 2027 was -$1.95 billion (Q4 2026), $664 million (Q3 2026) and $866 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 2.30 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 778.74 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | -6.17 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 773.40 Mn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 349.90 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 639.10 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 131.70 Mn |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 773.40 Mn |
| May 31, 2026 | -1.95 Bn |
| Feb 22, 2026 | 664.00 Mn |
| Nov 23, 2025 | 866.00 Mn |
| Aug 24, 2025 | 1.86 Bn |
| May 25, 2025 | 639.60 Mn |
| Feb 23, 2025 | 1.03 Bn |
| Nov 24, 2024 | 1.21 Bn |
| Aug 25, 2024 | 971.10 Mn |
| May 26, 2024 | 919.70 Mn |
| Feb 25, 2024 | 1.06 Bn |
| Nov 26, 2023 | 940.40 Mn |
| Aug 27, 2023 | 1.07 Bn |
| May 28, 2023 | 953.80 Mn |
| Feb 26, 2023 | 867.30 Mn |
| Nov 27, 2022 | 939.40 Mn |
| Aug 28, 2022 | 1.22 Bn |
| May 29, 2022 | 1.16 Bn |
| Feb 27, 2022 | 959.00 Mn |
| Nov 28, 2021 | 941.20 Mn |
API Access
General Mills EBITDA 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=ebitda&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();