Simply Good Foods (SMPL) Other Non-Current Liabilities (2016 - 2026)
Simply Good Foods (SMPL) posted Other Non-Current Liabilities of $43.45 million for fiscal Q3 2026 (quarter ended May 30, 2026), down 18.2% from $53.1 million a year earlier and down 4.5% from the prior quarter.
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Analysis
Simply Good Foods (SMPL) Other Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Simply Good Foods' Other Non-Current Liabilities came in at $49.49 million, up 35.4% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of -12.0% (FY2020 to FY2025).
- In prior fiscal years, Simply Good Foods' Other Non-Current Liabilities was $36.55 million in FY2024 (-4.7%), $38.35 million in FY2023 (-14.1%), $44.64 million in FY2022 (-72.1%) and $159.84 million in FY2021 (+70.7%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Other Non-Current Liabilities since fiscal Q2 2025.
- On a year-over-year basis, Other Non-Current Liabilities increased in four of the last eight quarters, with growth averaging 16.6%.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was fiscal Q1 2022, with growth of 142.1%; the weakest was fiscal Q1 2023, with a decline of 75.8%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior fiscal quarters was $45.51 million (Q2 2026), $47.52 million (Q1 2026) and $49.49 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Simply Good Foods | 839.49 Mn | 315.64 Mn | 116.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 43.45 Mn |
| Feb 28, 2026 | 45.51 Mn |
| Nov 29, 2025 | 47.52 Mn |
| Aug 30, 2025 | 49.49 Mn |
| May 31, 2025 | 53.10 Mn |
| Mar 1, 2025 | 34.28 Mn |
| Nov 30, 2024 | 35.52 Mn |
| Aug 31, 2024 | 36.55 Mn |
| May 25, 2024 | 33.41 Mn |
| Feb 24, 2024 | 34.93 Mn |
| Nov 25, 2023 | 36.66 Mn |
| Aug 26, 2023 | 38.35 Mn |
| May 27, 2023 | 39.73 Mn |
| Feb 25, 2023 | 41.33 Mn |
| Nov 26, 2022 | 42.91 Mn |
| Aug 27, 2022 | 44.64 Mn |
| May 28, 2022 | 46.38 Mn |
| Feb 26, 2022 | 46.63 Mn |
| Nov 27, 2021 | 177.20 Mn |
| Aug 28, 2021 | 159.84 Mn |
API Access
Simply Good Foods Other 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=other-non-current-liabilities&ticker=SMPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();