General Mills (GIS) Total Current Liabilities (2009 - 2026)
General Mills (GIS) recorded Total Current Liabilities of $6.94 billion in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 12.8% from $7.96 billion a year earlier but up 2.4% from the prior quarter.
General Mills (GIS) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), General Mills reported Total Current Liabilities of $6.77 billion, down 13.8% from FY2025.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -3.9% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $7.86 billion in FY2025 (+11.7%), $7.03 billion in FY2024 (-6.7%), $7.54 billion in FY2023 (-6.0%) and $8.02 billion in FY2022 (-3.0%).
- Quarterly Total Current Liabilities has ranged from $6.77 billion in fiscal Q4 2026 to $9.42 billion in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in five of the last eight quarters, with growth averaging 1.7%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 37.7% in fiscal Q3 2023, against a decline of 28.7% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $6.77 billion (Q4 2026), $8.69 billion (Q3 2026) and $7.71 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 33.58 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 21.59 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 3.35 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 8.72 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 6.94 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 3.57 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 2.29 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 1.87 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 2.20 Bn |
| 10 | Conagra Brands | 6.75 Bn | 5.73 Bn | 704.10 Mn | 3.19 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 6.94 Bn |
| May 31, 2026 | 6.77 Bn |
| Feb 22, 2026 | 8.69 Bn |
| Nov 23, 2025 | 7.71 Bn |
| Aug 24, 2025 | 7.96 Bn |
| May 25, 2025 | 7.86 Bn |
| Feb 23, 2025 | 7.88 Bn |
| Nov 24, 2024 | 8.02 Bn |
| Aug 25, 2024 | 7.29 Bn |
| May 26, 2024 | 7.03 Bn |
| Feb 25, 2024 | 7.06 Bn |
| Nov 26, 2023 | 7.90 Bn |
| Aug 27, 2023 | 7.07 Bn |
| May 28, 2023 | 7.54 Bn |
| Feb 26, 2023 | 9.42 Bn |
| Nov 27, 2022 | 9.21 Bn |
| Aug 28, 2022 | 8.60 Bn |
| May 29, 2022 | 8.02 Bn |
| Feb 27, 2022 | 6.84 Bn |
| Nov 28, 2021 | 7.81 Bn |
General Mills Total 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-current-liabilities&ticker=GIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();