Sprouts Farmers Market (SFM) Accumulated Expenses (2012 - 2026)
Sprouts Farmers Market (SFM) reported Accumulated Expenses of $272.85 million for Q3 2026, up 13.8% from $239.84 million a year earlier and up 8.2% from the prior quarter.
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Analysis
Sprouts Farmers Market (SFM) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025, Sprouts Farmers Market posted Accumulated Expenses of $304.42 million, up 40.4% from FY2024.
- Accumulated Expenses has increased for three consecutive years, with a four-year compound annual growth rate of 86.4% (FY2021 to FY2025).
- By year, Accumulated Expenses came in at $216.84 million in FY2024 (+31.5%), $164.89 million in FY2023 (+9.0%), $151.31 million in FY2022 and $25.23 million in FY2021.
- Five-year quarterly Accumulated Expenses spans a low of $148.87 million in Q1 2023 and a high of $311.28 million in Q1 2026.
- Year over year, Accumulated Expenses has now increased in each of the last nine quarters, with growth averaging 23.4% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q1 2026 (growth of 41.2%); the low point was Q2 2024 (a decline of 0.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $252.19 million (Q2 2026), $311.28 million (Q1 2026) and $304.42 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 1,013.30 Bn | 976.00 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 472.34 Bn | 395.62 Bn | 12.19 Bn |
| 3 | Kroger | 41.00 Bn | 27.16 Bn | 7.86 Bn |
| 4 | Sysco | 37.04 Bn | 28.96 Bn | 4.05 Bn |
| 5 | Dollar General | 30.44 Bn | 25.12 Bn | 3.68 Bn |
| 6 | Dollar Tree | 25.89 Bn | 22.51 Bn | 2.10 Bn |
| 7 | Caseys General Stores | 25.49 Bn | 23.48 Bn | 1.24 Bn |
| 8 | US Foods Holding | 22.91 Bn | 22.71 Bn | 1.90 Bn |
| 9 | Tractor Supply | 19.01 Bn | 18.16 Bn | 1.42 Bn |
| 10 | Sprouts Farmers Market | 4.78 Bn | 3.82 Bn | 880.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 272.85 Mn |
| Jun 28, 2026 | 252.19 Mn |
| Mar 29, 2026 | 311.28 Mn |
| Dec 28, 2025 | 304.42 Mn |
| Sep 28, 2025 | 239.84 Mn |
| Jun 29, 2025 | 223.68 Mn |
| Mar 30, 2025 | 220.47 Mn |
| Dec 29, 2024 | 216.84 Mn |
| Sep 29, 2024 | 206.15 Mn |
| Jun 30, 2024 | 193.81 Mn |
| Mar 31, 2024 | 190.22 Mn |
| Dec 31, 2023 | 164.89 Mn |
| Oct 1, 2023 | 175.77 Mn |
| Jul 2, 2023 | 194.62 Mn |
| Apr 2, 2023 | 148.87 Mn |
| Jan 1, 2023 | 151.31 Mn |
| Oct 2, 2022 | 144.94 Mn |
| Jul 3, 2022 | 138.66 Mn |
| Apr 3, 2022 | 143.46 Mn |
| Jan 2, 2022 | 27.14 Mn |
API Access
Sprouts Farmers Market Accumulated 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=accumulated-expenses&ticker=SFM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SFM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();