Prudential Financial (PRU) Total Liabilities (2009 - 2026)
Prudential Financial's Total Liabilities came in at $751.62 billion for Q2 2026, up 3.2% from $728.05 billion a year earlier and up 2.5% from the prior quarter.
Prudential Financial (PRU) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Prudential Financial's Total Liabilities was $740.95 billion, up 4.7% from FY2024.
- Total Liabilities has increased in each of the last three years, though with a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $707.4 billion in FY2024 (+2.1%), $693.1 billion in FY2023 (+5.3%), $658.1 billion in FY2022 (-27.5%) and $907.6 billion in FY2021 (+4.0%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities since Q1 2022.
- Year-over-year, Total Liabilities has increased for 13 consecutive quarters, with growth averaging 4.3% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2024 (growth of 11.5%), and the weakest in Q4 2022 (a decline of 27.5%).
- Business Quant data shows PRU's Total Liabilities at $733.08 billion (Q1 2026), $740.95 billion (Q4 2025) and $743.85 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | 200.48 Bn |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | 90.59 Bn |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 44.90 Bn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | 110.46 Bn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | 731.27 Bn |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | 58.06 Bn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | 91.06 Bn |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | 43.66 Bn |
| 10 | Prudential Financial | 39.80 Bn | -90.51 Bn | 7.91 Bn | 751.62 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 751.62 Bn |
| Mar 31, 2026 | 733.08 Bn |
| Dec 31, 2025 | 740.95 Bn |
| Sep 30, 2025 | 743.85 Bn |
| Jun 30, 2025 | 728.05 Bn |
| Mar 31, 2025 | 709.06 Bn |
| Dec 31, 2024 | 707.40 Bn |
| Sep 30, 2024 | 729.60 Bn |
| Jun 30, 2024 | 686.90 Bn |
| Mar 31, 2024 | 698.33 Bn |
| Dec 31, 2023 | 693.10 Bn |
| Sep 30, 2023 | 654.31 Bn |
| Jun 30, 2023 | 667.85 Bn |
| Mar 31, 2023 | 676.82 Bn |
| Dec 31, 2022 | 658.10 Bn |
| Sep 30, 2022 | 646.13 Bn |
| Jun 30, 2022 | 663.58 Bn |
| Mar 31, 2022 | 848.08 Bn |
| Dec 31, 2021 | 907.60 Bn |
| Sep 30, 2021 | 870.02 Bn |
Prudential 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=PRU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PRU", "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=PRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();