Simply Good Foods (SMPL) Cost of Revenue (2016 - 2026)
Simply Good Foods' Cost of Revenue came in at $240.88 million for fiscal Q3 2026 (quarter ended May 30, 2026), down 0.6% from $242.44 million a year earlier but up 8.0% from the prior quarter.
Simply Good Foods (SMPL) Cost of Revenue (2016 - 2026) Analysis & Trends
Over the trailing twelve months to May 30, 2026, Simply Good Foods reported Cost of Revenue of $936.6 million, up 2.6% year-over-year; for FY2025 (ended Aug 30, 2025), it came in at $925.17 million, up 12.9% from FY2024.
- Cost of Revenue has increased in each of the last eight fiscal years, with a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- Going back by fiscal year, Cost of Revenue was $819.76 million in FY2024 (+3.9%), $789.25 million in FY2023 (+9.1%), $723.12 million in FY2022 (+21.4%) and $595.85 million in FY2021 (+21.0%).
- The five-year range for quarterly Cost of Revenue is $155.4 million (fiscal Q4 2021) to $242.44 million (fiscal Q3 2025).
- Year-over-year, Cost of Revenue increased in six of the last eight quarters, with growth averaging 9.1%.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q2 2022 (growth of 34.1%), and the weakest in fiscal Q2 2026 (a decline of 2.8%).
- Business Quant data shows SMPL's Cost of Revenue at $222.98 million (Q2 2026), $230.3 million (Q1 2026) and $242.44 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 5.37 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 1.52 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 4.23 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 2.90 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 1.24 Bn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 1.23 Bn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.49 Bn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 2.32 Bn |
| 10 | Simply Good Foods | 869.57 Mn | 345.72 Mn | 116.10 Mn | 240.88 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 240.88 Mn |
| Feb 28, 2026 | 222.98 Mn |
| Nov 29, 2025 | 230.30 Mn |
| Aug 30, 2025 | 242.44 Mn |
| May 31, 2025 | 242.44 Mn |
| Mar 1, 2025 | 229.52 Mn |
| Nov 30, 2024 | 210.78 Mn |
| Aug 31, 2024 | 229.74 Mn |
| May 25, 2024 | 201.13 Mn |
| Feb 24, 2024 | 195.33 Mn |
| Nov 25, 2023 | 193.56 Mn |
| Aug 26, 2023 | 199.97 Mn |
| May 27, 2023 | 205.55 Mn |
| Feb 25, 2023 | 193.85 Mn |
| Nov 26, 2022 | 189.89 Mn |
| Aug 27, 2022 | 172.33 Mn |
| May 28, 2022 | 197.88 Mn |
| Feb 26, 2022 | 188.20 Mn |
| Nov 27, 2021 | 164.71 Mn |
| Aug 28, 2021 | 155.40 Mn |
Simply Good Foods Cost of Revenue 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=cost-of-revenue&ticker=SMPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();