Simply Good Foods (SMPL) Non-Current Debt (2016 - 2026)
Simply Good Foods' Non-Current Debt came in at $397.04 million for fiscal Q3 2026 (quarter ended May 30, 2026), up 59.5% from $248.92 million a year earlier and unchanged from the prior quarter.
Simply Good Foods (SMPL) Non-Current Debt (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Simply Good Foods' Non-Current Debt was $249.07 million, down 37.3% from FY2024.
- Non-Current Debt carries a five-year compound annual growth rate of -16.0% (FY2020 to FY2025).
- Going back by fiscal year, Non-Current Debt was $397.49 million in FY2024 (+41.1%), $281.65 million in FY2023 (-30.1%), $403.02 million in FY2022 (-10.7%) and $451.27 million in FY2021 (-24.4%).
- The fiscal Q3 2026 figure represents the highest quarterly Non-Current Debt since fiscal Q4 2024.
- Year-over-year, Non-Current Debt has increased for three consecutive quarters, with growth averaging 21.1% over the last eight quarters.
- The fastest year-over-year change in Non-Current Debt over five years came in fiscal Q3 2026 (growth of 59.5%), and the weakest in fiscal Q4 2025 (a decline of 37.3%).
- Business Quant data shows SMPL's Non-Current Debt at $396.87 million (Q2 2026), $396.74 million (Q1 2026) and $249.07 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 9.46 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 16.46 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 4.68 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 17.62 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 12.37 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 3.60 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 6.39 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 2.35 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 588.70 Mn |
| 10 | Simply Good Foods | 849.22 Mn | 325.37 Mn | 116.10 Mn | 397.04 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 397.04 Mn |
| Feb 28, 2026 | 396.87 Mn |
| Nov 29, 2025 | 396.74 Mn |
| Aug 30, 2025 | 249.07 Mn |
| May 31, 2025 | 248.92 Mn |
| Mar 1, 2025 | 298.54 Mn |
| Nov 30, 2024 | 347.99 Mn |
| Aug 31, 2024 | 397.49 Mn |
| May 25, 2024 | 237.66 Mn |
| Feb 24, 2024 | 237.64 Mn |
| Nov 25, 2023 | 272.03 Mn |
| Aug 26, 2023 | 281.65 Mn |
| May 27, 2023 | 320.90 Mn |
| Feb 25, 2023 | 362.62 Mn |
| Nov 26, 2022 | 396.99 Mn |
| Aug 27, 2022 | 403.02 Mn |
| May 28, 2022 | 402.59 Mn |
| Feb 26, 2022 | 426.92 Mn |
| Nov 27, 2021 | 427.02 Mn |
| Aug 28, 2021 | 451.27 Mn |
Simply Good Foods 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=SMPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();