General Mills (GIS) Non-Current Debt (2009 - 2026)
General Mills (GIS) reported Non-Current Debt of $13 million for fiscal Q1 2017 (quarter ended Aug 28, 2016).
Analysis
General Mills (GIS) Non-Current Debt (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) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 9.46 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 16.46 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 4.68 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 17.62 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 12.37 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 6.39 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 3.60 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 2.35 Bn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 588.70 Mn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | 6.94 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 12.37 Bn |
| May 31, 2026 | 12.42 Bn |
| Feb 22, 2026 | 10.99 Bn |
| Nov 23, 2025 | 12.16 Bn |
| Aug 24, 2025 | 12.22 Bn |
| May 25, 2025 | 12.67 Bn |
| Feb 23, 2025 | 11.84 Bn |
| Nov 24, 2024 | 12.44 Bn |
| Aug 25, 2024 | 11.43 Bn |
| May 26, 2024 | 11.30 Bn |
| Feb 25, 2024 | 11.02 Bn |
| Nov 26, 2023 | 10.53 Bn |
| Aug 27, 2023 | 10.52 Bn |
| May 28, 2023 | 9.97 Bn |
| Feb 26, 2023 | 8.14 Bn |
| Nov 27, 2022 | 8.62 Bn |
| Aug 28, 2022 | 8.47 Bn |
| May 29, 2022 | 9.13 Bn |
| Feb 27, 2022 | 10.94 Bn |
| Nov 28, 2021 | 10.97 Bn |
API Access
General Mills Non-Current Debt 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_KEY
import 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();