Arko (ARKO) EBITDA (2020 - 2026)
Arko (ARKO) posted EBITDA of $62.55 million for Q2 2026, down 30.7% from $90.29 million a year earlier but up 47.5% from the prior quarter.
Powered by 
Analysis
Arko (ARKO) EBITDA (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Arko was $228.3 million, down 3.5% year-over-year; for FY2025, it was $236.75 million, up 4.6% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- In prior years, Arko's EBITDA was $226.44 million in FY2024 (-7.8%), $245.61 million in FY2023 (-8.6%), $268.77 million in FY2022 (+12.3%) and $239.28 million in FY2021 (+54.7%).
- Quarterly EBITDA has run from a low of $23.12 million in Q1 2025 to a high of $91.79 million in Q3 2022 over five years.
- On a year-over-year basis, EBITDA increased in three of the last eight quarters, with growth averaging 5.1%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2026, with growth of 83.4%; the weakest was Q2 2026, with a decline of 30.7%.
- According to Business Quant data, EBITDA for the three prior quarters was $42.41 million (Q1 2026), $54.47 million (Q4 2025) and $68.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 13.31 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 3.41 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 1.24 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 1.71 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 1.05 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 601.08 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 869.90 Mn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 561.00 Mn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 597.96 Mn |
| 10 | Arko | 477.91 Mn | -611.13 Mn | - | 62.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.55 Mn |
| Mar 31, 2026 | 42.41 Mn |
| Dec 31, 2025 | 54.47 Mn |
| Sep 30, 2025 | 68.87 Mn |
| Jun 30, 2025 | 90.29 Mn |
| Mar 31, 2025 | 23.12 Mn |
| Dec 31, 2024 | 48.36 Mn |
| Sep 30, 2024 | 74.70 Mn |
| Jun 30, 2024 | 76.53 Mn |
| Mar 31, 2024 | 26.85 Mn |
| Dec 31, 2023 | 57.96 Mn |
| Sep 30, 2023 | 77.79 Mn |
| Jun 30, 2023 | 72.52 Mn |
| Mar 31, 2023 | 37.35 Mn |
| Dec 31, 2022 | 60.42 Mn |
| Sep 30, 2022 | 91.79 Mn |
| Jun 30, 2022 | 72.63 Mn |
| Mar 31, 2022 | 43.93 Mn |
| Dec 31, 2021 | 54.01 Mn |
| Sep 30, 2021 | 76.75 Mn |
API Access
Arko 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=ARKO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "ARKO", "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=ARKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();