American Coastal Insurance (ACIC) Shares Outstanding (Diluted) (2010 - 2026)
American Coastal Insurance's Shares Outstanding (Diluted) came in at 49.3 million for Q2 2026, down 0.7% from 49.64 million a year earlier and down 1.0% from the prior quarter.
American Coastal Insurance (ACIC) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, American Coastal Insurance's Shares Outstanding (Diluted) was 49.78 million, up 0.9% from FY2024.
- Shares Outstanding (Diluted) has increased in each of the last six years, with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 49.36 million in FY2024 (+11.2%), 44.39 million in FY2023 (+3.1%), 43.05 million in FY2022 (+0.2%) and 42.95 million in FY2021 (+0.2%).
- The Q2 2026 figure represents the lowest quarterly Shares Outstanding (Diluted) since Q1 2024.
- Year-over-year, Shares Outstanding (Diluted) increased in seven of the last eight quarters, with growth averaging 3.3%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q2 2024 (growth of 12.8%), and the weakest in Q2 2026 (a decline of 0.7%).
- Business Quant data shows ACIC's Shares Outstanding (Diluted) at 49.81 million (Q1 2026), 49.78 million (Q4 2025) and 49.92 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | - |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 391.25 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 584.20 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 482.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 213.60 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 1.71 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 646.90 Mn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 213.90 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 258.70 Mn |
| 10 | American Coastal Insurance | 427.34 Mn | -1.02 Bn | 63.76 Mn | 49.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.30 Mn |
| Mar 31, 2026 | 49.81 Mn |
| Dec 31, 2025 | 49.78 Mn |
| Sep 30, 2025 | 49.92 Mn |
| Jun 30, 2025 | 49.64 Mn |
| Mar 31, 2025 | 49.56 Mn |
| Dec 31, 2024 | 49.36 Mn |
| Sep 30, 2024 | 49.52 Mn |
| Jun 30, 2024 | 49.40 Mn |
| Mar 31, 2024 | 48.97 Mn |
| Dec 31, 2023 | 44.39 Mn |
| Sep 30, 2023 | 44.14 Mn |
| Jun 30, 2023 | 43.81 Mn |
| Mar 31, 2023 | 43.57 Mn |
| Dec 31, 2022 | 43.05 Mn |
| Sep 30, 2022 | 43.08 Mn |
| Jun 30, 2022 | 43.05 Mn |
| Mar 31, 2022 | 42.98 Mn |
| Dec 31, 2021 | 42.95 Mn |
| Sep 30, 2021 | 42.97 Mn |
American Coastal Insurance Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=ACIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=ACIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();