American Coastal Insurance (ACIC) Receivables (2010 - 2026)
American Coastal Insurance's Receivables was $119.92 million in Q2 2026, up 124.1% from $53.5 million a year earlier and up 56.3% from the prior quarter.
American Coastal Insurance (ACIC) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Receivables at American Coastal Insurance came in at $70.45 million, up 51.3% from FY2024.
- Receivables has now increased for three consecutive years, though with a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- In earlier years, Receivables was $46.56 million in FY2024 (+1.4%), $45.92 million in FY2023 (+16.9%), $39.3 million in FY2022 (-50.4%) and $79.17 million in FY2021 (-9.4%).
- The Q2 2026 figure marks the highest quarterly Receivables since Q2 2019.
- Compared with a year earlier, Receivables has increased for seven straight quarters, with growth averaging 32.8% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q2 2026 (growth of 124.1%); the worst was Q3 2023 (a decline of 50.4%).
- Per Business Quant data, ACIC's Receivables in the three quarters before Q2 2026 was $76.72 million (Q1 2026), $70.45 million (Q4 2025) and $30.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 54.42 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 19.07 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 17.11 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 8.94 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 12.38 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | - |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 50.64 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 5.66 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 8.76 Bn |
| 10 | American Coastal Insurance | 436.79 Mn | -1.01 Bn | 63.76 Mn | 119.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 119.92 Mn |
| Mar 31, 2026 | 76.72 Mn |
| Dec 31, 2025 | 70.45 Mn |
| Sep 30, 2025 | 30.34 Mn |
| Jun 30, 2025 | 53.50 Mn |
| Mar 31, 2025 | 61.75 Mn |
| Dec 31, 2024 | 46.56 Mn |
| Sep 30, 2024 | 18.63 Mn |
| Jun 30, 2024 | 52.87 Mn |
| Mar 31, 2024 | 53.99 Mn |
| Dec 31, 2023 | 45.92 Mn |
| Sep 30, 2023 | 22.44 Mn |
| Jun 30, 2023 | 55.65 Mn |
| Mar 31, 2023 | 48.12 Mn |
| Dec 31, 2022 | 39.30 Mn |
| Sep 30, 2022 | 45.21 Mn |
| Jun 30, 2022 | 101.55 Mn |
| Mar 31, 2022 | 76.89 Mn |
| Dec 31, 2021 | 79.17 Mn |
| Sep 30, 2021 | 63.20 Mn |
American Coastal Insurance Receivables 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=receivables&ticker=ACIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ACIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();