American Coastal Insurance (ACIC) EBITDA (2010 - 2026)
American Coastal Insurance (ACIC) posted EBITDA of $29.2 million for Q2 2026, down 22.9% from $37.86 million a year earlier but up 10.6% from the prior quarter.
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Analysis
American Coastal Insurance (ACIC) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at American Coastal Insurance was $137.74 million, up 20.4% year-over-year; for FY2025, it came in at $146.85 million, up 35.4% from FY2024.
- Annual EBITDA has increased for three consecutive years.
- In prior years, American Coastal Insurance's EBITDA was $108.47 million in FY2024 (+3.8%), $104.48 million in FY2023 (+613.1%), $14.65 million in FY2022 and $1.22 million in FY2021.
- Quarterly EBITDA has run from a low of -$54.75 million in Q3 2022 to a high of $143.19 million in Q4 2022 over five years.
- On a year-over-year basis, EBITDA increased in four of the last eight quarters, with growth averaging 37.5%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2025, with growth of 247.9%; the weakest was Q4 2023, with a decline of 83.7%.
- According to Business Quant data, EBITDA for the three prior quarters was $26.4 million (Q1 2026), $38.8 million (Q4 2025) and $43.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | -26.60 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | - |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | -10.28 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 2.13 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | -1.20 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | - |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | - |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 1.14 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 940.00 Mn |
| 10 | American Coastal Insurance | 436.79 Mn | -1.01 Bn | 63.76 Mn | 29.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.20 Mn |
| Mar 31, 2026 | 26.40 Mn |
| Dec 31, 2025 | 38.80 Mn |
| Sep 30, 2025 | 43.33 Mn |
| Jun 30, 2025 | 37.86 Mn |
| Mar 31, 2025 | 26.85 Mn |
| Dec 31, 2024 | 11.15 Mn |
| Sep 30, 2024 | 38.56 Mn |
| Jun 30, 2024 | 26.02 Mn |
| Mar 31, 2024 | 32.73 Mn |
| Dec 31, 2023 | 23.36 Mn |
| Sep 30, 2023 | 20.40 Mn |
| Jun 30, 2023 | 23.72 Mn |
| Mar 31, 2023 | 35.41 Mn |
| Dec 31, 2022 | 143.19 Mn |
| Sep 30, 2022 | -54.75 Mn |
| Jun 30, 2022 | -30.74 Mn |
| Mar 31, 2022 | 285,000.00 |
| Dec 31, 2021 | 69.96 Mn |
| Sep 30, 2021 | -15.91 Mn |
API Access
American Coastal Insurance 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=ACIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "ACIC", "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=ACIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();