Simply Good Foods (SMPL) Revenue (2016 - 2026)
Simply Good Foods (SMPL) reported Revenue of $356.98 million for fiscal Q3 2026 (quarter ended May 30, 2026), down 6.3% from $380.96 million a year earlier but up 9.5% from the prior quarter.
Simply Good Foods (SMPL) Revenue (2016 - 2026) Analysis & Trends
Over the twelve months ended May 30, 2026, Simply Good Foods' Revenue came in at $1.39 billion, down 4.5% year-over-year; for FY2025 (ended Aug 30, 2025), it was $1.45 billion, up 9.0% from FY2024.
- Revenue has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- By fiscal year, Revenue came in at $1.33 billion in FY2024 (+7.1%), $1.24 billion in FY2023 (+6.3%), $1.17 billion in FY2022 (+16.2%) and $1.01 billion in FY2021 (+23.1%).
- Five-year quarterly Revenue spans a low of $259.85 million in fiscal Q4 2021 and a high of $380.96 million in fiscal Q3 2025.
- Year over year, Revenue has now declined in each of the last four quarters, with growth averaging 4.9% over the last eight quarters.
- The high point for year-over-year Revenue in five years was fiscal Q2 2022 (growth of 28.7%); the low point was fiscal Q2 2026 (a decline of 9.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $326.01 million (Q2 2026), $340.2 million (Q1 2026) and $369.04 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 15.16 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 9.36 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 2.79 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 6.26 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 4.39 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 1.94 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 2.22 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 2.96 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 3.33 Bn |
| 10 | Simply Good Foods | 850.11 Mn | 326.26 Mn | 116.10 Mn | 356.98 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 356.98 Mn |
| Feb 28, 2026 | 326.01 Mn |
| Nov 29, 2025 | 340.20 Mn |
| Aug 30, 2025 | 369.04 Mn |
| May 31, 2025 | 380.96 Mn |
| Mar 1, 2025 | 359.66 Mn |
| Nov 30, 2024 | 341.27 Mn |
| Aug 31, 2024 | 375.69 Mn |
| May 25, 2024 | 334.76 Mn |
| Feb 24, 2024 | 312.20 Mn |
| Nov 25, 2023 | 308.68 Mn |
| Aug 26, 2023 | 320.42 Mn |
| May 27, 2023 | 324.79 Mn |
| Feb 25, 2023 | 296.58 Mn |
| Nov 26, 2022 | 300.88 Mn |
| Aug 27, 2022 | 274.16 Mn |
| May 28, 2022 | 316.53 Mn |
| Feb 26, 2022 | 296.72 Mn |
| Nov 27, 2021 | 281.27 Mn |
| Aug 28, 2021 | 259.85 Mn |
Simply Good Foods 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=revenue&ticker=SMPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();