American Coastal Insurance (ACIC) Net Income (2009 - 2026)
American Coastal Insurance (ACIC) posted Net Income of $19.4 million for Q3 2026, down 40.3% from $32.48 million a year earlier and down 11.4% from the prior quarter.
American Coastal Insurance (ACIC) Net Income (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Net Income at American Coastal Insurance was $87.11 million, up 2.2% year-over-year; for FY2025, it was $106.84 million, up 41.1% from FY2024.
- In prior years, American Coastal Insurance's Net Income was $75.72 million in FY2024 (-75.6%), $309.91 million in FY2023, -$469.97 million in FY2022 and -$59.87 million in FY2021.
- Quarterly Net Income has run from a low of -$296.77 million in Q4 2022 to a high of $267.28 million in Q1 2023 over five years.
- On a year-over-year basis, Net Income has declined in each of the last three quarters, with growth averaging 43.6% over the last eight quarters.
- The strongest year-over-year quarter for Net Income in the past five years was Q4 2025, with growth of 437.1%; the weakest was Q1 2024, with a decline of 91.2%.
- According to Business Quant data, Net Income for the three prior quarters was $21.9 million (Q2 2026), $19.25 million (Q1 2026) and $26.56 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | 22.19 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 2.84 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 2.54 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 812.00 Mn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 1.92 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 1.08 Bn |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 406.00 Mn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 486.00 Mn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 2.08 Bn |
| 10 | American Coastal Insurance | 485.19 Mn | -994.70 Mn | 62.74 Mn | 19.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.40 Mn |
| Jun 30, 2026 | 21.90 Mn |
| Mar 31, 2026 | 19.25 Mn |
| Dec 31, 2025 | 26.56 Mn |
| Sep 30, 2025 | 32.48 Mn |
| Jun 30, 2025 | 26.44 Mn |
| Mar 31, 2025 | 21.35 Mn |
| Dec 31, 2024 | 4.95 Mn |
| Sep 30, 2024 | 28.12 Mn |
| Jun 30, 2024 | 19.05 Mn |
| Mar 31, 2024 | 23.60 Mn |
| Dec 31, 2023 | 14.28 Mn |
| Sep 30, 2023 | 10.57 Mn |
| Jun 30, 2023 | 17.78 Mn |
| Mar 31, 2023 | 267.28 Mn |
| Dec 31, 2022 | -296.77 Mn |
| Sep 30, 2022 | -70.88 Mn |
| Jun 30, 2022 | -69.06 Mn |
| Mar 31, 2022 | -33.26 Mn |
| Dec 31, 2021 | -2.87 Mn |
American Coastal Insurance Net Income 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=net-income&ticker=ACIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=ACIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();