American National (ANG-PD) Operating Expenses (2010 - 2026)
American National (ANG-PD) recorded Operating Expenses of $1.43 billion in Q2 2026, down 7.5% from $1.54 billion a year earlier.
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Analysis
American National (ANG-PD) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, American National's Operating Expenses came in at $5.47 billion as of Jun 30, 2026, down 28.1% year-over-year; for FY2025, it came in at $7.09 billion, down 0.8% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 34.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $7.15 billion in FY2024 (+142.9%), $2.94 billion in FY2023 (+49.8%), $1.97 billion in FY2022 (-34.2%) and $2.99 billion in FY2021 (+85.7%).
- Quarterly Operating Expenses has ranged from -$853.06 million in Q2 2022 to $3.61 billion in Q4 2022 over the past five years.
- On a year-over-year basis, Operating Expenses rose in two of the last six quarters, with growth averaging 13.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 303.1% in Q4 2022, against a decline of 28.7% in Q3 2025 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.09 Bn | 84.67 Bn | 9.13 Bn | 12.19 Bn |
| 2 | Progressive | 127.57 Bn | 103.40 Bn | 9.04 Bn | 19.40 Bn |
| 3 | Marsh & Mclennan Companies | 89.82 Bn | 81.98 Bn | - | 5.65 Bn |
| 4 | Travelers Companies | 80.92 Bn | 57.17 Bn | 6.23 Bn | 9.39 Bn |
| 5 | Manulife Financial | 75.09 Bn | -19.79 Bn | - | -902.21 Mn |
| 6 | Arthur J. Gallagher | 64.98 Bn | 59.38 Bn | - | 3.59 Bn |
| 7 | Metlife | 64.10 Bn | -42.68 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Allstate | 63.22 Bn | 24.49 Bn | 8.73 Bn | 14.45 Bn |
| 9 | Aon | 61.77 Bn | 54.99 Bn | - | 3.33 Bn |
| 10 | American National | 1.87 Bn | -48.47 Bn | 1.46 Bn | 1.43 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.43 Bn |
| Dec 31, 2025 | 781.00 Mn |
| Sep 30, 2025 | 1.72 Bn |
| Jun 30, 2025 | 1.54 Bn |
| Mar 31, 2025 | 2.60 Bn |
| Dec 31, 2024 | 1.05 Bn |
| Sep 30, 2024 | 2.41 Bn |
| Jun 30, 2024 | 2.16 Bn |
| Mar 31, 2024 | 1.53 Bn |
| Dec 31, 2023 | -756.00 Mn |
| Sep 30, 2023 | 1.20 Bn |
| Jun 30, 2023 | 1.37 Bn |
| Mar 31, 2023 | 854.45 Mn |
| Dec 31, 2022 | 626.22 Mn |
| Sep 30, 2022 | -74.42 Mn |
| Jun 30, 2022 | -853.06 Mn |
| Mar 31, 2022 | -716.63 Mn |
| Dec 31, 2021 | 895.32 Mn |
| Sep 30, 2021 | 345.00 Mn |
| Jun 30, 2021 | 1.15 Bn |
API Access
American National Operating Expenses 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=operating-expenses&ticker=ANG-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ANG-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();