Simply Good Foods (SMPL) Cash & Equivalents (2016 - 2026)
Simply Good Foods (SMPL) posted Cash & Equivalents of $123.88 million for fiscal Q3 2026 (quarter ended May 30, 2026), up 26.4% from $98.01 million a year earlier and up 15.3% from the prior quarter.
Simply Good Foods (SMPL) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Simply Good Foods' Cash & Equivalents came in at $98.47 million, down 25.7% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- In prior fiscal years, Simply Good Foods' Cash & Equivalents was $132.53 million in FY2024 (+51.1%), $87.72 million in FY2023 (+30.0%), $67.49 million in FY2022 (-10.4%) and $75.35 million in FY2021 (-21.4%).
- Quarterly Cash & Equivalents has run from a low of $35.45 million in fiscal Q1 2022 to a high of $208.68 million in fiscal Q3 2024 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 4.8% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q3 2024, with growth of 203.3%; the weakest was fiscal Q1 2022, with a decline of 61.2%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $107.44 million (Q2 2026), $194.05 million (Q1 2026) and $98.47 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | 5.49 Bn |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 1.72 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 791.21 Mn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 2.42 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 433.10 Mn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 43.20 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 331.10 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 839.64 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 611.00 Mn |
| 10 | Simply Good Foods | 869.57 Mn | 345.72 Mn | 116.10 Mn | 123.88 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 123.88 Mn |
| Feb 28, 2026 | 107.44 Mn |
| Nov 29, 2025 | 194.05 Mn |
| Aug 30, 2025 | 98.47 Mn |
| May 31, 2025 | 98.01 Mn |
| Mar 1, 2025 | 103.68 Mn |
| Nov 30, 2024 | 121.76 Mn |
| Aug 31, 2024 | 132.53 Mn |
| May 25, 2024 | 208.68 Mn |
| Feb 24, 2024 | 135.88 Mn |
| Nov 25, 2023 | 121.39 Mn |
| Aug 26, 2023 | 87.72 Mn |
| May 27, 2023 | 68.79 Mn |
| Feb 25, 2023 | 63.21 Mn |
| Nov 26, 2022 | 54.14 Mn |
| Aug 27, 2022 | 67.49 Mn |
| May 28, 2022 | 56.72 Mn |
| Feb 26, 2022 | 51.47 Mn |
| Nov 27, 2021 | 35.45 Mn |
| Aug 28, 2021 | 75.35 Mn |
Simply Good Foods Cash & Equivalents 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=cash-and-equivalents&ticker=SMPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();