Sprouts Farmers Market (SFM) Tax Provisions (2012 - 2026)
Sprouts Farmers Market's Tax Provisions was $44.91 million in Q2 2026, down 2.5% from $46.08 million a year earlier and down 13.2% from the prior quarter.
Sprouts Farmers Market (SFM) Tax Provisions (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sprouts Farmers Market's Tax Provisions was $168.42 million through Jun 28, 2026, up 9.4% year-over-year; for FY2025, it came in at $165.11 million, up 30.9% from FY2024.
- Tax Provisions shows a four-year compound annual growth rate of 16.6% (FY2021 to FY2025).
- In earlier years, Tax Provisions was $126.1 million in FY2024 (+48.6%), $84.88 million in FY2023 (-3.7%), $88.15 million in FY2022 and $89.43 million in FY2021.
- Quarterly Tax Provisions has moved between $18.96 million (Q4 2023) and $51.71 million (Q1 2026) over five years.
- Compared with a year earlier, Tax Provisions was higher in seven of the last eight quarters, with growth averaging 29.3%.
- The best year-over-year quarter for Tax Provisions over five years was Q3 2024 (growth of 54.5%); the worst was Q4 2023 (a decline of 14.7%).
- Per Business Quant data, SFM's Tax Provisions in the three quarters before Q2 2026 was $51.71 million (Q1 2026), $33.83 million (Q4 2025) and $37.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 1.48 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 746.00 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 169.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 175.97 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 73.31 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 171.90 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 94.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 89.30 Mn |
| 10 | Sprouts Farmers Market | 6.22 Bn | 5.16 Bn | 900.65 Mn | 44.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 44.91 Mn |
| Mar 29, 2026 | 51.71 Mn |
| Dec 28, 2025 | 33.83 Mn |
| Sep 28, 2025 | 37.97 Mn |
| Jun 29, 2025 | 46.08 Mn |
| Mar 30, 2025 | 47.23 Mn |
| Dec 29, 2024 | 28.68 Mn |
| Sep 29, 2024 | 31.90 Mn |
| Jun 30, 2024 | 32.17 Mn |
| Mar 31, 2024 | 33.35 Mn |
| Dec 31, 2023 | 18.96 Mn |
| Oct 1, 2023 | 20.64 Mn |
| Jul 2, 2023 | 22.14 Mn |
| Apr 2, 2023 | 23.14 Mn |
| Jan 1, 2023 | 22.23 Mn |
| Oct 2, 2022 | 22.65 Mn |
| Jul 3, 2022 | 21.86 Mn |
| Apr 3, 2022 | 28.30 Mn |
| Oct 3, 2021 | 19.03 Mn |
| Jul 4, 2021 | 19.70 Mn |
Sprouts Farmers Market Tax Provisions 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=tax-provisions&ticker=SFM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SFM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();