Sprouts Farmers Market (SFM) Change in Accrued Expenses (2012 - 2026)
Sprouts Farmers Market's Change in Accrued Expenses was $23.55 million in Q3 2026, down 35.3% from $36.37 million a year earlier.
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Analysis
Sprouts Farmers Market (SFM) Change in Accrued Expenses (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sprouts Farmers Market's Change in Accrued Expenses was -$32.91 million through Sep 27, 2026; for FY2025, it was $25.25 million, down 35.8% from FY2024.
- Change in Accrued Expenses shows a four-year compound annual growth rate of -2.7% (FY2021 to FY2025).
- In earlier years, Change in Accrued Expenses was $39.31 million in FY2024 (+205.2%), $12.88 million in FY2023 (+137.8%), $5.42 million in FY2022 and $28.12 million in FY2021.
- Quarterly Change in Accrued Expenses has moved between -$34.56 million (Q1 2026) and $55.45 million (Q2 2023) over five years.
- Compared with a year earlier, Change in Accrued Expenses was higher in two of the last four quarters, with growth averaging 22.9%.
- Per Business Quant data, SFM's Change in Accrued Expenses in the three quarters before Q3 2026 was -$23.65 million (Q2 2026), -$34.56 million (Q1 2026) and $1.75 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 998.27 Bn | 954.70 Bn | 49.13 Bn | 1.90 Bn |
| 2 | Costco Wholesale | 467.84 Bn | 391.12 Bn | 12.19 Bn | - |
| 3 | Kroger | 41.10 Bn | 27.25 Bn | 7.86 Bn | - |
| 4 | Sysco | 37.00 Bn | 28.92 Bn | 4.05 Bn | -132.00 Mn |
| 5 | Dollar General | 29.48 Bn | 24.16 Bn | 3.68 Bn | 188.24 Mn |
| 6 | Caseys General Stores | 25.44 Bn | 23.43 Bn | 1.24 Bn | -50.26 Mn |
| 7 | Dollar Tree | 24.95 Bn | 21.57 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.95 Bn | 22.75 Bn | 1.90 Bn | 71.00 Mn |
| 9 | Tractor Supply | 18.92 Bn | 18.08 Bn | 1.42 Bn | 36.35 Mn |
| 10 | Sprouts Farmers Market | 4.57 Bn | 3.61 Bn | 880.79 Mn | 23.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 23.55 Mn |
| Jun 28, 2026 | -23.65 Mn |
| Mar 29, 2026 | -34.56 Mn |
| Dec 28, 2025 | 1.75 Mn |
| Sep 28, 2025 | 36.37 Mn |
| Jun 29, 2025 | 16.90 Mn |
| Mar 30, 2025 | -29.78 Mn |
| Dec 29, 2024 | 1.43 Mn |
| Sep 29, 2024 | 13.80 Mn |
| Jun 30, 2024 | 41.75 Mn |
| Mar 31, 2024 | -17.67 Mn |
| Dec 31, 2023 | -6.15 Mn |
| Oct 1, 2023 | -22.71 Mn |
| Jul 2, 2023 | 55.45 Mn |
| Apr 2, 2023 | -13.71 Mn |
| Jan 1, 2023 | 35.96 Mn |
| Apr 3, 2022 | -14.11 Mn |
| Oct 3, 2021 | -1.96 Mn |
| Jul 4, 2021 | 4.37 Mn |
| Apr 4, 2021 | -32.96 Mn |
API Access
Sprouts Farmers Market Change in Accrued 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=change-in-accured-expenses&ticker=SFM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SFM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=SFM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();