American Coastal Insurance (ACIC) Cost of Revenue (2009 - 2026)
American Coastal Insurance's Cost of Revenue came in at $7.97 million for Q3 2026, down 13.5% from $9.21 million a year earlier and down 57.7% from the prior quarter.
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Analysis
American Coastal Insurance (ACIC) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, American Coastal Insurance reported Cost of Revenue of $46.94 million, down 28.8% year-over-year; for FY2025, it was $46.04 million, down 33.6% from FY2024.
- Cost of Revenue carries a three-year compound annual growth rate of -21.8% (FY2022 to FY2025).
- Going back by year, Cost of Revenue was $69.32 million in FY2024 (+48.5%), $46.68 million in FY2023 (-51.4%) and $96.11 million in FY2022.
- The Q3 2026 figure represents the lowest quarterly Cost of Revenue since Q4 2023.
- Year-over-year, Cost of Revenue increased in three of the last eight quarters, with growth averaging 30.8%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q4 2024 (growth of 344.0%), and the weakest in Q4 2025 (a decline of 66.8%).
- Business Quant data shows ACIC's Cost of Revenue at $18.83 million (Q2 2026), $10.24 million (Q1 2026) and $9.9 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | 48.94 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 7.53 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 14.90 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | - |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 6.49 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | - |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 645.00 Mn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | - |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 9.94 Bn |
| 10 | American Coastal Insurance | 485.19 Mn | -994.70 Mn | 62.74 Mn | 7.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.97 Mn |
| Jun 30, 2026 | 18.83 Mn |
| Mar 31, 2026 | 10.24 Mn |
| Dec 31, 2025 | 9.90 Mn |
| Sep 30, 2025 | 9.21 Mn |
| Jun 30, 2025 | 15.54 Mn |
| Mar 31, 2025 | 11.39 Mn |
| Dec 31, 2024 | 29.79 Mn |
| Sep 30, 2024 | 11.77 Mn |
| Jun 30, 2024 | 15.28 Mn |
| Mar 31, 2024 | 12.47 Mn |
| Dec 31, 2023 | 6.71 Mn |
| Sep 30, 2023 | 9.82 Mn |
| Jun 30, 2023 | 16.25 Mn |
| Mar 31, 2023 | 16.41 Mn |
| Dec 31, 2022 | 3.00 Mn |
| Sep 30, 2022 | 52.77 Mn |
| Jun 30, 2022 | 14.03 Mn |
| Mar 31, 2022 | 26.32 Mn |
| Dec 31, 2021 | -247.56 Mn |
API Access
American Coastal Insurance Cost of Revenue 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=cost-of-revenue&ticker=ACIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ACIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();