Sprouts Farmers Market (SFM) Retained Earnings (2012 - 2026)
Sprouts Farmers Market (SFM) recorded Retained Earnings of $642.24 million in Q2 2026, up 20.6% from $532.64 million a year earlier and up 10.0% from the prior quarter.
Sprouts Farmers Market (SFM) Retained Earnings (2012 - 2026) Analysis & Trends
At the end of FY2025, Sprouts Farmers Market reported Retained Earnings of $561.13 million, up 9.2% from FY2024.
- Annual Retained Earnings has increased for three straight years, with a four-year compound annual growth rate of 28.9% (FY2021 to FY2025).
- Across earlier years, Retained Earnings came in at $513.65 million in FY2024 (+37.5%), $373.61 million in FY2023 (+16.7%), $320.01 million in FY2022 and $203 million in FY2021.
- The Q2 2026 figure is the highest quarterly Retained Earnings in data going back to Q4 2012.
- On a year-over-year basis, Retained Earnings has increased for 11 consecutive quarters, with growth averaging 22.6% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 9.2% (Q4 2025) and 56.8% (Q3 2024) over the last five years.
- Per Business Quant, the preceding three quarters came in at $583.73 million (Q1 2026), $561.13 million (Q4 2025) and $602.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 103.60 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 26.48 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 13.75 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 29.95 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 5.13 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 4.09 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 3.48 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 3.07 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 7.79 Bn |
| 10 | Sprouts Farmers Market | 6.22 Bn | 5.16 Bn | 900.65 Mn | 642.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 642.24 Mn |
| Mar 29, 2026 | 583.73 Mn |
| Dec 28, 2025 | 561.13 Mn |
| Sep 28, 2025 | 602.59 Mn |
| Jun 29, 2025 | 532.64 Mn |
| Mar 30, 2025 | 473.09 Mn |
| Dec 29, 2024 | 513.65 Mn |
| Sep 29, 2024 | 543.91 Mn |
| Jun 30, 2024 | 477.81 Mn |
| Mar 31, 2024 | 427.33 Mn |
| Dec 31, 2023 | 373.61 Mn |
| Oct 1, 2023 | 346.85 Mn |
| Jul 2, 2023 | 313.87 Mn |
| Apr 2, 2023 | 297.00 Mn |
| Jan 1, 2023 | 320.01 Mn |
| Oct 2, 2022 | 319.78 Mn |
| Jul 3, 2022 | 298.06 Mn |
| Apr 3, 2022 | 301.42 Mn |
| Jan 2, 2022 | 258.82 Mn |
| Oct 3, 2021 | 273.45 Mn |
Sprouts Farmers Market Retained Earnings 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=retained-earnings&ticker=SFM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=SFM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();