American Coastal Insurance (ACIC) Consolidated Net Income (2010 - 2026)
American Coastal Insurance's Consolidated Net Income was $21.9 million in Q2 2026, down 21.9% from $28.04 million a year earlier but up 13.7% from the prior quarter.
American Coastal Insurance (ACIC) Consolidated Net Income (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, American Coastal Insurance's Consolidated Net Income was $100.2 million through Jun 30, 2026, up 23.3% year-over-year; for FY2025, it came in at $106.8 million, up 41.0% from FY2024.
- In earlier years, Consolidated 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 Consolidated Net Income has moved between -$296.77 million (Q4 2022) and $267.28 million (Q1 2023) over five years.
- Compared with a year earlier, Consolidated Net Income was higher in four of the last eight quarters, with growth averaging 59.9%.
- The best year-over-year quarter for Consolidated Net Income over five years was Q4 2025 (growth of 352.7%); the worst was Q1 2024 (a decline of 91.1%).
- Per Business Quant data, ACIC's Consolidated Net Income in the three quarters before Q2 2026 was $19.25 million (Q1 2026), $26.56 million (Q4 2025) and $32.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 25.77 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 2.88 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 3.31 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 1.29 Bn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | 2.21 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | 2.33 Bn |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | 779.00 Mn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 324.00 Mn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 565.00 Mn |
| 10 | American Coastal Insurance | 441.05 Mn | -1.00 Bn | 63.76 Mn | 21.90 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 | 28.04 Mn |
| Mar 31, 2025 | 19.71 Mn |
| Dec 31, 2024 | 5.87 Mn |
| Sep 30, 2024 | 27.67 Mn |
| Jun 30, 2024 | 19.07 Mn |
| Mar 31, 2024 | 23.71 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 |
| Sep 30, 2021 | -15.12 Mn |
American Coastal Insurance Consolidated 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=consolidated-net-income&ticker=ACIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-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=consolidated-net-income&ticker=ACIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();