Arko (ARKO) EBITDA (2020 - 2026)
Arko (ARKO) posted EBITDA of $69.01 million for Q3 2026, down 0.9% from $69.62 million a year earlier but up 8.6% from the prior quarter.
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Analysis
Arko (ARKO) EBITDA (2020 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at Arko was $231.11 million, down 1.0% year-over-year; for FY2025, it was $239.61 million, up 4.6% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- In prior years, Arko's EBITDA was $229.11 million in FY2024 (-7.7%), $248.13 million in FY2023 (-8.5%), $271.28 million in FY2022 (+9.1%) and $248.58 million in FY2021 (+58.4%).
- Quarterly EBITDA has run from a low of $23.79 million in Q1 2025 to a high of $92.43 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 5.5%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2021, with growth of 89.7%; the weakest was Q2 2026, with a decline of 30.1%.
- According to Business Quant data, EBITDA for the three prior quarters was $63.57 million (Q2 2026), $43.32 million (Q1 2026) and $55.22 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 1,016.23 Bn | 978.93 Bn | 49.13 Bn | 13.31 Bn |
| 2 | Costco Wholesale | 490.35 Bn | 413.63 Bn | 12.19 Bn | 4.68 Bn |
| 3 | Kroger | 41.83 Bn | 27.99 Bn | 7.86 Bn | 1.71 Bn |
| 4 | Sysco | 37.95 Bn | 29.87 Bn | 4.05 Bn | 1.07 Bn |
| 5 | Dollar General | 29.60 Bn | 24.27 Bn | 3.68 Bn | 1.05 Bn |
| 6 | Caseys General Stores | 26.32 Bn | 24.31 Bn | 1.24 Bn | 601.59 Mn |
| 7 | Dollar Tree | 25.91 Bn | 22.54 Bn | 2.10 Bn | 869.90 Mn |
| 8 | US Foods Holding | 23.28 Bn | 23.08 Bn | 1.90 Bn | 494.00 Mn |
| 9 | Tractor Supply | 18.93 Bn | 18.08 Bn | 1.42 Bn | 440.66 Mn |
| 10 | Arko | 448.70 Mn | -521.73 Mn | 383.22 Mn | 69.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 69.01 Mn |
| Jun 30, 2026 | 63.57 Mn |
| Mar 31, 2026 | 43.32 Mn |
| Dec 31, 2025 | 55.22 Mn |
| Sep 30, 2025 | 69.62 Mn |
| Jun 30, 2025 | 90.99 Mn |
| Mar 31, 2025 | 23.79 Mn |
| Dec 31, 2024 | 49.03 Mn |
| Sep 30, 2024 | 75.37 Mn |
| Jun 30, 2024 | 77.19 Mn |
| Mar 31, 2024 | 27.51 Mn |
| Dec 31, 2023 | 58.62 Mn |
| Sep 30, 2023 | 78.43 Mn |
| Jun 30, 2023 | 73.14 Mn |
| Mar 31, 2023 | 37.94 Mn |
| Dec 31, 2022 | 61.04 Mn |
| Sep 30, 2022 | 92.43 Mn |
| Jun 30, 2022 | 73.26 Mn |
| Mar 31, 2022 | 44.56 Mn |
| Dec 31, 2021 | 61.89 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();