General Mills (GIS) Total Non-Current Liabilities (2009 - 2026)
General Mills (GIS) recorded Total Non-Current Liabilities of $21.57 billion in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 3.0% from $22.23 billion a year earlier.
General Mills (GIS) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), General Mills reported Total Non-Current Liabilities of $116.3 million, up 20.8% from FY2025.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -3.9% (FY2021 to FY2026).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $96.3 million in FY2025 (+9.2%), $88.2 million in FY2024 (-12.1%), $100.3 million in FY2023 (-5.8%) and $106.5 million in FY2022 (-25.1%).
- Quarterly Total Non-Current Liabilities has ranged from $88.2 million in fiscal Q4 2024 to $22.69 billion in fiscal Q2 2025 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in five of the last eight quarters, with growth averaging 6.2%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 20.8% in fiscal Q4 2026, against a decline of 25.1% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $116.3 million (Q4 2026), $21.81 billion (Q3 2026) and $21.96 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 34.56 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 21.57 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 8.16 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 8.50 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 10.72 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 21.57 Bn |
| May 31, 2026 | 116.30 Mn |
| Feb 22, 2026 | 21.81 Bn |
| Nov 23, 2025 | 21.96 Bn |
| Aug 24, 2025 | 22.23 Bn |
| May 25, 2025 | 96.30 Mn |
| Feb 23, 2025 | 21.98 Bn |
| Nov 24, 2024 | 22.69 Bn |
| Aug 25, 2024 | 20.92 Bn |
| May 26, 2024 | 88.20 Mn |
| Feb 25, 2024 | 20.10 Bn |
| Nov 26, 2023 | 20.46 Bn |
| Aug 27, 2023 | 19.68 Bn |
| May 28, 2023 | 100.30 Mn |
| Feb 26, 2023 | 19.71 Bn |
| Nov 27, 2022 | 20.02 Bn |
| Aug 28, 2022 | 19.33 Bn |
| May 29, 2022 | 106.50 Mn |
| Feb 27, 2022 | 19.95 Bn |
| Nov 28, 2021 | 21.50 Bn |
General Mills Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=GIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();