Brighthouse Financial (BHF) Total Liabilities (2016 - 2026)
Brighthouse Financial (BHF) posted Total Liabilities of $240.57 billion for Q2 2026, up 1.5% from $236.91 billion a year earlier and up 4.1% from the prior quarter.
Brighthouse Financial (BHF) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Brighthouse Financial's Total Liabilities came in at $234.97 billion, up 0.6% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In prior years, Brighthouse Financial's Total Liabilities was $233.51 billion in FY2024 (+0.9%), $231.33 billion in FY2023 (+5.5%), $219.25 billion in FY2022 (-13.6%) and $253.81 billion in FY2021 (+10.5%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q4 2021.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with growth averaging 1.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 10.5%; the weakest was Q4 2022, with a decline of 13.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $231.18 billion (Q1 2026), $234.97 billion (Q4 2025) and $238.25 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 512.89 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 200.48 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 90.59 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 44.25 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 110.46 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 751.17 Bn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 58.06 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 91.06 Bn |
| 10 | Brighthouse Financial | 2.99 Bn | -25.12 Bn | 1.03 Bn | 240.57 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 240.57 Bn |
| Mar 31, 2026 | 231.18 Bn |
| Dec 31, 2025 | 234.97 Bn |
| Sep 30, 2025 | 238.25 Bn |
| Jun 30, 2025 | 236.91 Bn |
| Mar 31, 2025 | 229.38 Bn |
| Dec 31, 2024 | 233.51 Bn |
| Sep 30, 2024 | 239.57 Bn |
| Jun 30, 2024 | 233.23 Bn |
| Mar 31, 2024 | 235.43 Bn |
| Dec 31, 2023 | 231.33 Bn |
| Sep 30, 2023 | 219.38 Bn |
| Jun 30, 2023 | 226.57 Bn |
| Mar 31, 2023 | 224.18 Bn |
| Dec 31, 2022 | 219.25 Bn |
| Sep 30, 2022 | 216.98 Bn |
| Jun 30, 2022 | 220.97 Bn |
| Mar 31, 2022 | 237.76 Bn |
| Dec 31, 2021 | 253.81 Bn |
| Sep 30, 2021 | 238.60 Bn |
Brighthouse Financial Total Liabilities 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=total-liabilities&ticker=BHF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "BHF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=BHF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();