Sonic Automotive (SAH) EBITDA (2010 - 2026)
Sonic Automotive's EBITDA was $171.6 million in Q2 2026, up 897.7% from $17.2 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Sonic Automotive (SAH) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sonic Automotive's EBITDA was $671.9 million through Jun 30, 2026, up 27.7% year-over-year; for FY2025, it was $530.9 million, down 13.2% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 33.6% (FY2020 to FY2025).
- In earlier years, EBITDA was $611.9 million in FY2024 (+8.1%), $565.9 million in FY2023 (+28.2%), $441.5 million in FY2022 (-31.0%) and $639.5 million in FY2021 (+412.0%).
- The Q2 2026 figure marks the highest quarterly EBITDA since Q1 2025.
- Compared with a year earlier, EBITDA was higher in four of the last eight quarters, with growth averaging 106.0%.
- The best year-over-year quarter for EBITDA over five years was Q2 2026 (growth of 897.7%); the worst was Q2 2025 (a decline of 88.1%).
- Per Business Quant data, SAH's EBITDA in the three quarters before Q2 2026 was $171.4 million (Q1 2026), $165 million (Q4 2025) and $163.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,786.69 Bn | 2,303.39 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 292.25 Bn | 285.49 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 156.35 Bn | 133.89 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.35 Bn | 98.31 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 71.70 Bn | 54.63 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 70.98 Bn | 70.07 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 68.97 Bn | 63.56 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 47.65 Bn | 46.55 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 43.47 Bn | 33.96 Bn | 1.38 Bn | 753.00 Mn |
| 10 | Sonic Automotive | 1.93 Bn | 1.80 Bn | 616.20 Mn | 173.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 173.60 Mn |
| Mar 31, 2026 | 173.10 Mn |
| Dec 31, 2025 | 166.70 Mn |
| Sep 30, 2025 | 165.60 Mn |
| Jun 30, 2025 | 18.80 Mn |
| Mar 31, 2025 | 186.30 Mn |
| Dec 31, 2024 | 174.40 Mn |
| Sep 30, 2024 | 152.80 Mn |
| Jun 30, 2024 | 146.00 Mn |
| Mar 31, 2024 | 144.60 Mn |
| Dec 31, 2023 | 139.70 Mn |
| Sep 30, 2023 | 174.30 Mn |
| Jun 30, 2023 | 116.00 Mn |
| Mar 31, 2023 | 142.30 Mn |
| Dec 31, 2022 | -109.20 Mn |
| Sep 30, 2022 | 183.20 Mn |
| Jun 30, 2022 | 187.20 Mn |
| Mar 31, 2022 | 185.40 Mn |
| Dec 31, 2021 | 188.10 Mn |
| Sep 30, 2021 | 151.20 Mn |
API Access
Sonic Automotive 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=SAH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "SAH", "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=SAH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();