Simply Good Foods (SMPL) Interest Expenses (2016 - 2026)
Simply Good Foods (SMPL) recorded Interest Expenses of $5.78 million in fiscal Q3 2026 (quarter ended May 30, 2026), up 17.9% from $4.9 million a year earlier but down 1.0% from the prior quarter.
Simply Good Foods (SMPL) Interest Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Simply Good Foods' Interest Expenses came in at $20.05 million as of May 30, 2026, down 29.6% year-over-year; for FY2025 (ended Aug 30, 2025), it was $23.25 million, down 10.7% from FY2024.
- Annual Interest Expenses has a five-year compound annual growth rate of -6.7% (FY2020 to FY2025).
- Across earlier fiscal years, Interest Expenses came in at $26.03 million in FY2024 (-13.4%), $30.07 million in FY2023 (+37.4%), $21.88 million in FY2022 (-30.7%) and $31.56 million in FY2021 (-3.8%).
- Quarterly Interest Expenses has ranged from $4.15 million in fiscal Q4 2025 to $9.37 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Interest Expenses rose in four of the last eight quarters, with an average decline of 1.7%.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 61.1% in fiscal Q2 2023, against a decline of 55.7% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $5.83 million (Q2 2026), $4.29 million (Q1 2026) and $4.15 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | -31.00 Mn |
| 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 | 62.70 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 19.64 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 | 5.78 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 5.78 Mn |
| Feb 28, 2026 | 5.83 Mn |
| Nov 29, 2025 | 4.29 Mn |
| Aug 30, 2025 | 4.15 Mn |
| May 31, 2025 | 4.90 Mn |
| Mar 1, 2025 | 6.34 Mn |
| Nov 30, 2024 | 7.86 Mn |
| Aug 31, 2024 | 9.37 Mn |
| May 25, 2024 | 5.03 Mn |
| Feb 24, 2024 | 5.60 Mn |
| Nov 25, 2023 | 6.03 Mn |
| Aug 26, 2023 | 6.87 Mn |
| May 27, 2023 | 7.65 Mn |
| Feb 25, 2023 | 8.50 Mn |
| Nov 26, 2022 | 7.06 Mn |
| Aug 27, 2022 | 5.35 Mn |
| May 28, 2022 | 4.88 Mn |
| Feb 26, 2022 | 5.28 Mn |
| Nov 27, 2021 | 6.37 Mn |
| Aug 28, 2021 | 7.21 Mn |
Simply Good Foods Interest Expenses 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=interest-expenses&ticker=SMPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();