General Mills (GIS) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
General Mills (GIS) reported Non-Current Debt of $13 million for fiscal Q1 2017 (quarter ended Aug 28, 2016).
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Analysis
General Mills (GIS) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
Dating back to fiscal Q1 2013, General Mills' Non-Current Debt record includes 5 quarters.
- The fiscal Q1 2017 figure ranks as the lowest quarterly Non-Current Debt since fiscal Q2 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.56 Bn | 96.02 Bn | - | - |
| 2 | Mondelez International | 83.86 Bn | 76.87 Bn | 3.92 Bn | -967.00 Mn |
| 3 | Hershey | 34.38 Bn | 31.11 Bn | 1.51 Bn | -501.66 Mn |
| 4 | Kraft Heinz | 28.62 Bn | 16.27 Bn | 1.99 Bn | -1.00 Bn |
| 5 | General Mills | 18.33 Bn | 15.98 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 14.08 Bn | 13.86 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.60 Bn | 11.66 Bn | 794.90 Mn | -1.70 Mn |
| 8 | Hormel Foods | 12.11 Bn | 8.77 Bn | 471.52 Mn | -1.77 Mn |
| 9 | Chewy | 9.02 Bn | 6.31 Bn | 1.01 Bn | -220.00 Mn |
| 10 | Lamb Weston Holdings | 7.75 Bn | 7.37 Bn | 266.50 Mn | -16.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 462.20 Mn |
| Feb 22, 2026 | -698.70 Mn |
| May 25, 2025 | 54.90 Mn |
| Feb 23, 2025 | -500.00 Mn |
| Nov 24, 2024 | 1.50 Bn |
| May 26, 2024 | 1.06 Bn |
| Feb 25, 2024 | 500.00 Mn |
| Nov 26, 2023 | 100.00 Mn |
| May 28, 2023 | 1.00 Bn |
| Feb 26, 2023 | 1.80 Mn |
| Nov 27, 2022 | -100.00 Mn |
| May 29, 2022 | -594.20 Mn |
| Feb 27, 2022 | -56.30 Mn |
| Nov 28, 2021 | -256.80 Mn |
| Aug 29, 2021 | -29.90 Mn |
| May 30, 2021 | -1.45 Bn |
| Feb 28, 2021 | 1.20 Mn |
| Nov 29, 2020 | 376.20 Mn |
| Aug 30, 2020 | 40.10 Mn |
| May 31, 2020 | 770.10 Mn |
API Access
General Mills Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=GIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();