Simply Good Foods (SMPL) Receivables - Net (2016 - 2026)
Simply Good Foods' Receivables - Net was $156.07 million in fiscal Q3 2026 (quarter ended May 30, 2026), up 2.3% from $152.58 million a year earlier and up 26.4% from the prior quarter.
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Analysis
Simply Good Foods (SMPL) Receivables - Net (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Receivables - Net at Simply Good Foods came in at $164.98 million, up 9.5% from FY2024.
- Receivables - Net has now increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- In earlier fiscal years, Receivables - Net was $150.72 million in FY2024 (+3.9%), $145.08 million in FY2023 (+9.4%), $132.67 million in FY2022 (+19.0%) and $111.46 million in FY2021 (+24.2%).
- Quarterly Receivables - Net has moved between $111.46 million (fiscal Q4 2021) and $164.98 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Receivables - Net was higher in six of the last eight quarters, with growth averaging 0.2%.
- The best year-over-year quarter for Receivables - Net over five years was fiscal Q1 2022 (growth of 27.9%); the worst was fiscal Q2 2026 (a decline of 21.4%).
- Per Business Quant data, SMPL's Receivables - Net in the three fiscal quarters before Q3 2026 was $123.52 million (Q2 2026), $129.18 million (Q1 2026) and $164.98 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn |
| 10 | Simply Good Foods | 849.22 Mn | 325.37 Mn | 116.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 156.07 Mn |
| Feb 28, 2026 | 123.52 Mn |
| Nov 29, 2025 | 129.18 Mn |
| Aug 30, 2025 | 164.98 Mn |
| May 31, 2025 | 152.58 Mn |
| Mar 1, 2025 | 157.15 Mn |
| Nov 30, 2024 | 149.67 Mn |
| Aug 31, 2024 | 150.72 Mn |
| May 25, 2024 | 146.28 Mn |
| Feb 24, 2024 | 147.51 Mn |
| Nov 25, 2023 | 135.56 Mn |
| Aug 26, 2023 | 145.08 Mn |
| May 27, 2023 | 145.43 Mn |
| Feb 25, 2023 | 148.25 Mn |
| Nov 26, 2022 | 158.88 Mn |
| Aug 27, 2022 | 132.67 Mn |
| May 28, 2022 | 146.38 Mn |
| Feb 26, 2022 | 118.21 Mn |
| Nov 27, 2021 | 125.20 Mn |
| Aug 28, 2021 | 111.46 Mn |
API Access
Simply Good Foods Receivables - Net 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=receivables-net&ticker=SMPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=SMPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();