American National (ANG-PD) Receivables (2023 - 2025)
American National's Receivables was $499 million in Q3 2025, down 0.8% from $503 million a year earlier but up 7.8% from the prior quarter.
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Analysis
American National (ANG-PD) Receivables (2023 - 2025) Analysis & Trends
At the end of FY2024, Receivables at American National came in at $2.29 billion, up 370.1% from FY2023.
- In earlier years, Receivables was $486.09 million in FY2023.
- Quarterly Receivables has moved between $430 million (Q2 2024) and $2.29 billion (Q4 2024) over five years.
- Per Business Quant data, ANG-PD's Receivables in the three quarters before Q3 2025 was $463 million (Q2 2025), $453 million (Q1 2025) and $2.29 billion (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 139.70 Bn | 86.28 Bn | 9.13 Bn | 19.07 Bn |
| 2 | Progressive | 129.53 Bn | 105.37 Bn | 9.04 Bn | 17.11 Bn |
| 3 | Marsh & Mclennan Companies | 91.66 Bn | 83.82 Bn | - | 8.55 Bn |
| 4 | Travelers Companies | 83.26 Bn | 59.51 Bn | 6.23 Bn | 12.38 Bn |
| 5 | Manulife Financial | 76.24 Bn | -18.64 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.87 Bn | 61.27 Bn | - | 8.76 Bn |
| 7 | Allstate | 64.81 Bn | 26.08 Bn | 8.73 Bn | 11.86 Bn |
| 8 | Metlife | 64.71 Bn | -42.07 Bn | 7.82 Bn | 50.64 Bn |
| 9 | Aon | 63.30 Bn | 56.52 Bn | - | 5.66 Bn |
| 10 | American National | 1.87 Bn | -48.46 Bn | 1.46 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 499.00 Mn |
| Jun 30, 2025 | 463.00 Mn |
| Mar 31, 2025 | 453.00 Mn |
| Dec 31, 2024 | 2.29 Bn |
| Sep 30, 2024 | 503.00 Mn |
| Jun 30, 2024 | 430.00 Mn |
| Dec 31, 2023 | 484.00 Mn |
API Access
American National 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=ANG-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ANG-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();