Jackson Financial (JXN) Total Liabilities (2020 - 2026)
Jackson Financial (JXN) recorded Total Liabilities of $356.59 billion in Q2 2026, up 7.0% from $333.12 billion a year earlier and up 8.2% from the prior quarter.
Jackson Financial (JXN) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Jackson Financial reported Total Liabilities of $342.24 billion, up 4.2% from FY2024.
- Annual Total Liabilities has increased for three straight years, though with a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $328.47 billion in FY2024 (+2.7%), $319.92 billion in FY2023 (+4.7%), $305.61 billion in FY2022 (-16.8%) and $367.24 billion in FY2021 (+6.9%).
- The Q2 2026 figure is the highest quarterly Total Liabilities since Q4 2021.
- On a year-over-year basis, Total Liabilities has increased for five consecutive quarters, with growth averaging 3.5% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 10.0% in Q3 2024, against a decline of 17.4% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $329.64 billion (Q1 2026), $342.24 billion (Q4 2025) and $343.06 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 512.89 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 200.48 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 90.59 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 44.25 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 110.46 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 751.17 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 43.66 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 58.06 Bn |
| 10 | Jackson Financial | 8.81 Bn | -12.47 Bn | - | 356.59 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 356.59 Bn |
| Mar 31, 2026 | 329.64 Bn |
| Dec 31, 2025 | 342.24 Bn |
| Sep 30, 2025 | 343.06 Bn |
| Jun 30, 2025 | 333.12 Bn |
| Mar 31, 2025 | 316.67 Bn |
| Dec 31, 2024 | 328.47 Bn |
| Sep 30, 2024 | 334.76 Bn |
| Jun 30, 2024 | 327.49 Bn |
| Mar 31, 2024 | 329.92 Bn |
| Dec 31, 2023 | 319.92 Bn |
| Sep 30, 2023 | 304.28 Bn |
| Jun 30, 2023 | 317.56 Bn |
| Mar 31, 2023 | 312.00 Bn |
| Dec 31, 2022 | 305.61 Bn |
| Sep 30, 2022 | 292.02 Bn |
| Jun 30, 2022 | 305.75 Bn |
| Mar 31, 2022 | 343.73 Bn |
| Dec 31, 2021 | 367.24 Bn |
| Sep 30, 2021 | 353.52 Bn |
Jackson 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=JXN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "JXN", "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=JXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();