General Mills (GIS) Interest Expenses (2009 - 2026)
General Mills' Interest Expenses was $128.4 million in fiscal Q3 2026 (quarter ended Feb 22, 2026), down 5.8% from $136.3 million a year earlier but up 2.0% from the prior quarter.
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Analysis
General Mills (GIS) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, General Mills' Interest Expenses was $526.8 million through Feb 22, 2026, up 3.9% year-over-year; for FY2025 (ended May 25, 2025), it came in at $524.2 million, up 9.4% from FY2024.
- Interest Expenses has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- In earlier fiscal years, Interest Expenses was $479.2 million in FY2024 (+25.4%), $382.1 million in FY2023 (+0.7%), $379.6 million in FY2022 (-9.7%) and $420.3 million in FY2021 (-9.9%).
- Quarterly Interest Expenses has moved between $86.5 million (fiscal Q3 2022) and $139.7 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Interest Expenses was higher in seven of the last eight quarters, with growth averaging 7.2%.
- The best year-over-year quarter for Interest Expenses over five years was fiscal Q1 2024 (growth of 33.4%); the worst was fiscal Q3 2022 (a decline of 18.4%).
- Per Business Quant data, GIS's Interest Expenses in the three fiscal quarters before Q3 2026 was $125.9 million (Q2 2026), $132.8 million (Q1 2026) and $139.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | - |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -31.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 62.70 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 19.64 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | - |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 22, 2026 | 128.40 Mn |
| Nov 23, 2025 | 125.90 Mn |
| Aug 24, 2025 | 132.80 Mn |
| May 25, 2025 | 139.70 Mn |
| Feb 23, 2025 | 136.30 Mn |
| Nov 24, 2024 | 124.60 Mn |
| Aug 25, 2024 | 123.60 Mn |
| May 26, 2024 | 122.70 Mn |
| Feb 25, 2024 | 121.70 Mn |
| Nov 26, 2023 | 117.80 Mn |
| Aug 27, 2023 | 117.00 Mn |
| May 28, 2023 | 104.60 Mn |
| Feb 26, 2023 | 98.30 Mn |
| Nov 27, 2022 | 91.50 Mn |
| Aug 28, 2022 | 87.70 Mn |
| May 29, 2022 | 104.50 Mn |
| Feb 27, 2022 | 86.50 Mn |
| Nov 28, 2021 | 92.70 Mn |
| Aug 29, 2021 | 95.90 Mn |
| May 30, 2021 | 102.60 Mn |
API Access
General Mills Interest Expenses 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=interest-expenses&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();