Sprouts Farmers Market (SFM) EBITDA (2012 - 2026)
Sprouts Farmers Market's EBITDA came in at $219.85 million for Q2 2026, up 0.9% from $217.8 million a year earlier but down 15.3% from the prior quarter.
Sprouts Farmers Market (SFM) EBITDA (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Sprouts Farmers Market reported EBITDA of $842.36 million, up 7.7% year-over-year; for FY2025, it came in at $843.88 million, up 30.9% from FY2024.
- EBITDA has increased in each of the last three years, with a four-year compound annual growth rate of 13.0% (FY2021 to FY2025).
- Going back by year, EBITDA was $644.66 million in FY2024 (+32.1%), $488.04 million in FY2023 (+0.5%), $485.43 million in FY2022 and $518.17 million in FY2021.
- The five-year range for quarterly EBITDA is $103.58 million (Q4 2023) to $263.15 million (Q1 2025).
- Year-over-year, EBITDA increased in seven of the last eight quarters, with growth averaging 23.5%.
- The fastest year-over-year change in EBITDA over five years came in Q1 2025 (growth of 44.0%), and the weakest in Q4 2023 (a decline of 4.4%).
- Business Quant data shows SFM's EBITDA at $259.58 million (Q1 2026), $164.79 million (Q4 2025) and $198.14 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 13.31 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 3.41 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 1.24 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 1.71 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 1.05 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 601.08 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 869.90 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 561.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 597.96 Mn |
| 10 | Sprouts Farmers Market | 6.22 Bn | 5.16 Bn | 900.65 Mn | 219.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 219.85 Mn |
| Mar 29, 2026 | 259.58 Mn |
| Dec 28, 2025 | 164.79 Mn |
| Sep 28, 2025 | 198.14 Mn |
| Jun 29, 2025 | 217.80 Mn |
| Mar 30, 2025 | 263.15 Mn |
| Dec 29, 2024 | 142.75 Mn |
| Sep 29, 2024 | 158.58 Mn |
| Jun 30, 2024 | 160.55 Mn |
| Mar 31, 2024 | 182.79 Mn |
| Dec 31, 2023 | 103.58 Mn |
| Oct 1, 2023 | 121.31 Mn |
| Jul 2, 2023 | 126.72 Mn |
| Apr 2, 2023 | 136.43 Mn |
| Jan 1, 2023 | 108.31 Mn |
| Oct 2, 2022 | 120.65 Mn |
| Jul 3, 2022 | 117.75 Mn |
| Apr 3, 2022 | 152.36 Mn |
| Oct 3, 2021 | 117.08 Mn |
| Jul 4, 2021 | 114.96 Mn |
Sprouts Farmers Market EBITDA 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=ebitda&ticker=SFM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SFM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();