F&G Annuities & Life (FG) Operating Expenses (2022 - 2026)
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Analysis
F&G Annuities & Life (FG) Operating Expenses (2022 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | 12.79 Bn |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | 19.96 Bn |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | 5.65 Bn |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | 10.04 Bn |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | - |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | 3.46 Bn |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | 3.29 Bn |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | 18.12 Bn |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | 14.73 Bn |
| 10 | F&G Annuities & Life | 3.30 Bn | -7.29 Bn | 272.00 Mn | 1.52 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.52 Bn |
| Mar 31, 2026 | 864.00 Mn |
| Dec 31, 2025 | 1.60 Bn |
| Sep 30, 2025 | 1.56 Bn |
| Jun 30, 2025 | 1.31 Bn |
| Mar 31, 2025 | 934.00 Mn |
| Dec 31, 2024 | 1.15 Bn |
| Sep 30, 2024 | 1.47 Bn |
| Jun 30, 2024 | 918.00 Mn |
| Mar 31, 2024 | 1.43 Bn |
| Dec 31, 2023 | 1.99 Bn |
| Sep 30, 2023 | 471.00 Mn |
| Jun 30, 2023 | 1.01 Bn |
| Mar 31, 2023 | 1.07 Bn |
| Dec 31, 2022 | 899.00 Mn |
| Sep 30, 2022 | 664.00 Mn |
| Jun 30, 2022 | -412.00 Mn |
| Mar 31, 2022 | 405.00 Mn |
API Access
F&G Annuities & Life 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=FG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FG", "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=FG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();