American Coastal Insurance (ACIC) Cash & Equivalents (2010 - 2026)
American Coastal Insurance (ACIC) recorded Cash & Equivalents of $317.22 million in Q2 2026, down 22.1% from $407.21 million a year earlier but up 32.8% from the prior quarter.
American Coastal Insurance (ACIC) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, American Coastal Insurance reported Cash & Equivalents of $292.85 million, up 31.7% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $222.29 million in FY2024 (+29.4%), $171.83 million in FY2023 (-39.4%), $283.61 million in FY2022 (+15.6%) and $245.28 million in FY2021 (-18.6%).
- Quarterly Cash & Equivalents has ranged from $77.27 million in Q2 2023 to $407.21 million in Q2 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in five of the last eight quarters, with growth averaging 25.7%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 238.5% in Q2 2024, against a decline of 75.6% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $238.95 million (Q1 2026), $292.85 million (Q4 2025) and $359.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,079.16 Bn | -338.32 Bn | 55.86 Bn | 40.61 Bn |
| 2 | Chubb | 127.75 Bn | 79.80 Bn | 9.13 Bn | 2.75 Bn |
| 3 | Progressive | 122.68 Bn | 98.52 Bn | 9.04 Bn | 193.00 Mn |
| 4 | Marsh & Mclennan Companies | 82.15 Bn | 73.89 Bn | - | 1.70 Bn |
| 5 | Travelers Companies | 75.41 Bn | 51.66 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 72.51 Bn | 73.72 Bn | - | - |
| 7 | Metlife | 60.18 Bn | -46.30 Bn | 7.82 Bn | 19.30 Bn |
| 8 | Arthur J. Gallagher | 59.45 Bn | 53.89 Bn | - | 1.39 Bn |
| 9 | Aon | 58.55 Bn | 51.79 Bn | - | 1.06 Bn |
| 10 | American Coastal Insurance | 437.26 Mn | -1.01 Bn | 63.76 Mn | 317.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 317.22 Mn |
| Mar 31, 2026 | 238.95 Mn |
| Dec 31, 2025 | 292.85 Mn |
| Sep 30, 2025 | 359.14 Mn |
| Jun 30, 2025 | 407.21 Mn |
| Mar 31, 2025 | 254.25 Mn |
| Dec 31, 2024 | 222.29 Mn |
| Sep 30, 2024 | 240.40 Mn |
| Jun 30, 2024 | 261.59 Mn |
| Mar 31, 2024 | 305.71 Mn |
| Dec 31, 2023 | 171.83 Mn |
| Sep 30, 2023 | 130.49 Mn |
| Jun 30, 2023 | 77.27 Mn |
| Mar 31, 2023 | 142.26 Mn |
| Dec 31, 2022 | 283.61 Mn |
| Sep 30, 2022 | 223.25 Mn |
| Jun 30, 2022 | 317.15 Mn |
| Mar 31, 2022 | 290.87 Mn |
| Dec 31, 2021 | 245.28 Mn |
| Sep 30, 2021 | 221.06 Mn |
American Coastal Insurance Cash & Equivalents 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=cash-and-equivalents&ticker=ACIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ACIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();