American National (ANG-PD) Shares Outstanding (Entity) (2010 - 2024)
American National (ANG-PD) posted Shares Outstanding (Entity) of 79.57 million for Q1 2024, up 2.3% from 77.75 million a year earlier and up 0.3% from the prior quarter.
American National (ANG-PD) Shares Outstanding (Entity) (2010 - 2024) Analysis & Trends
For FY2023, American National's Shares Outstanding (Entity) came in at 79.34 million, down 6.5% from FY2022.
- Annual Shares Outstanding (Entity) has declined for three consecutive years, with a five-year compound annual growth rate of -2.6% (FY2018 to FY2023).
- In prior years, American National's Shares Outstanding (Entity) was 84.81 million in FY2022 (-8.3%), 92.51 million in FY2021 (-3.4%), 95.72 million in FY2020 (+5.1%) and 91.11 million in FY2019 (+0.8%).
- The Q1 2024 figure stands as the highest quarterly Shares Outstanding (Entity) since Q4 2022.
- On a year-over-year basis, Shares Outstanding (Entity) increased in 1 of the last eight quarters, with an average decline of 7.7%.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q4 2020, with growth of 5.1%; the weakest was Q1 2023, with a decline of 18.2%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 79.34 million (Q4 2023), 78.97 million (Q3 2023) and 78.05 million (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.09 Bn | 84.67 Bn | 9.13 Bn | 385.63 Mn |
| 2 | Progressive | 127.57 Bn | 103.40 Bn | 9.04 Bn | 581.37 Mn |
| 3 | Marsh & Mclennan Companies | 89.82 Bn | 81.98 Bn | - | 475.00 Mn |
| 4 | Travelers Companies | 80.92 Bn | 57.17 Bn | 6.23 Bn | 208.60 Mn |
| 5 | Manulife Financial | 75.09 Bn | -19.79 Bn | - | - |
| 6 | Arthur J. Gallagher | 64.98 Bn | 59.38 Bn | - | 256.30 Mn |
| 7 | Metlife | 64.10 Bn | -42.68 Bn | 7.82 Bn | 637.75 Mn |
| 8 | Allstate | 63.22 Bn | 24.49 Bn | 8.73 Bn | 254.00 Mn |
| 9 | Aon | 61.77 Bn | 54.99 Bn | - | 212.13 Mn |
| 10 | American National | 1.87 Bn | -48.47 Bn | 1.46 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 79.57 Mn |
| Dec 31, 2023 | 79.34 Mn |
| Sep 30, 2023 | 78.97 Mn |
| Jun 30, 2023 | 78.05 Mn |
| Mar 31, 2023 | 77.75 Mn |
| Dec 31, 2022 | 84.81 Mn |
| Sep 30, 2022 | 85.97 Mn |
| Jun 30, 2022 | 90.17 Mn |
| Mar 31, 2022 | 95.02 Mn |
| Dec 31, 2021 | 92.51 Mn |
| Sep 30, 2021 | 92.51 Mn |
| Jun 30, 2021 | 92.55 Mn |
| Mar 31, 2021 | 95.48 Mn |
| Dec 31, 2020 | 95.72 Mn |
| Sep 30, 2020 | 91.93 Mn |
| Jun 30, 2020 | 91.60 Mn |
| Mar 31, 2020 | 91.50 Mn |
| Dec 31, 2019 | 91.11 Mn |
| Sep 30, 2019 | 91.01 Mn |
| Jun 30, 2019 | 90.94 Mn |
American National Shares Outstanding (Entity) 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-entity&ticker=ANG-PD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "ANG-PD", "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-entity&ticker=ANG-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();