Simply Good Foods (SMPL) Total Non-Current Liabilities (2016 - 2026)
Simply Good Foods' Total Non-Current Liabilities was $600.87 million in fiscal Q3 2026 (quarter ended May 30, 2026), up 12.0% from $536.34 million a year earlier and up 1.8% from the prior quarter.
Simply Good Foods (SMPL) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Total Non-Current Liabilities at Simply Good Foods came in at $539.72 million, down 19.7% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -6.4% (FY2020 to FY2025).
- In earlier fiscal years, Total Non-Current Liabilities was $672.11 million in FY2024 (+37.8%), $487.64 million in FY2023 (-20.2%), $610.95 million in FY2022 (-7.2%) and $658.69 million in FY2021 (-12.5%).
- Quarterly Total Non-Current Liabilities has moved between $458.91 million (fiscal Q3 2024) and $672.11 million (fiscal Q4 2024) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for three straight quarters, with growth averaging 14.1% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q4 2024 (growth of 37.8%); the worst was fiscal Q4 2023 (a decline of 20.2%).
- Per Business Quant data, SMPL's Total Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $590.37 million (Q2 2026), $668.99 million (Q1 2026) and $539.72 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.56 Bn | 96.02 Bn | - | 33.96 Bn |
| 2 | Mondelez International | 83.86 Bn | 76.87 Bn | 3.92 Bn | 43.35 Bn |
| 3 | Hershey | 34.38 Bn | 31.11 Bn | 1.51 Bn | 8.39 Bn |
| 4 | Kraft Heinz | 28.62 Bn | 16.27 Bn | 1.99 Bn | 34.81 Bn |
| 5 | General Mills | 18.33 Bn | 15.98 Bn | 1.49 Bn | 21.57 Bn |
| 6 | J M Smucker | 14.08 Bn | 13.86 Bn | 979.60 Mn | 8.16 Bn |
| 7 | Mccormick | 12.60 Bn | 11.66 Bn | 794.90 Mn | 8.65 Bn |
| 8 | Hormel Foods | 12.11 Bn | 8.77 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 9.02 Bn | 6.31 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Simply Good Foods | 1.15 Bn | 582.08 Mn | 113.33 Mn | 541.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 541.78 Mn |
| May 30, 2026 | 600.87 Mn |
| Feb 28, 2026 | 590.37 Mn |
| Nov 29, 2025 | 668.99 Mn |
| Aug 30, 2025 | 539.72 Mn |
| May 31, 2025 | 536.34 Mn |
| Mar 1, 2025 | 575.14 Mn |
| Nov 30, 2024 | 622.37 Mn |
| Aug 31, 2024 | 672.11 Mn |
| May 25, 2024 | 458.91 Mn |
| Feb 24, 2024 | 465.16 Mn |
| Nov 25, 2023 | 471.22 Mn |
| Aug 26, 2023 | 487.64 Mn |
| May 27, 2023 | 509.46 Mn |
| Feb 25, 2023 | 555.44 Mn |
| Nov 26, 2022 | 586.80 Mn |
| Aug 27, 2022 | 610.95 Mn |
| May 28, 2022 | 630.96 Mn |
| Feb 26, 2022 | 640.22 Mn |
| Nov 27, 2021 | 608.23 Mn |
Simply Good Foods 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=SMPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SMPL", "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=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();