Old Republic International (ORI) Total Liabilities (2009 - 2026)
Old Republic International's Total Liabilities came in at $25.5 billion for Q2 2026, up 10.6% from $23.05 billion a year earlier and up 7.7% from the prior quarter.
Old Republic International (ORI) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Old Republic International's Total Liabilities was $23.93 billion, up 7.7% from FY2024.
- Total Liabilities has increased in each of the last seven years, with a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $22.22 billion in FY2024 (+10.6%), $20.09 billion in FY2023 (+5.8%), $18.99 billion in FY2022 (+5.0%) and $18.09 billion in FY2021 (+8.8%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2009.
- Year-over-year, Total Liabilities has increased for 30 consecutive quarters, with growth averaging 8.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 3.3% (Q3 2022) to 15.4% (Q3 2021).
- Business Quant data shows ORI's Total Liabilities at $23.67 billion (Q1 2026), $23.93 billion (Q4 2025) and $23.81 billion (Q3 2025) in the three quarters before Q2 2026.
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 | Old Republic International | 9.18 Bn | 9.19 Bn | 1.61 Bn | 25.50 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.50 Bn |
| Mar 31, 2026 | 23.67 Bn |
| Dec 31, 2025 | 23.93 Bn |
| Sep 30, 2025 | 23.81 Bn |
| Jun 30, 2025 | 23.05 Bn |
| Mar 31, 2025 | 22.08 Bn |
| Dec 31, 2024 | 22.22 Bn |
| Sep 30, 2024 | 22.40 Bn |
| Jun 30, 2024 | 21.50 Bn |
| Mar 31, 2024 | 20.66 Bn |
| Dec 31, 2023 | 20.09 Bn |
| Sep 30, 2023 | 20.48 Bn |
| Jun 30, 2023 | 19.73 Bn |
| Mar 31, 2023 | 19.07 Bn |
| Dec 31, 2022 | 18.99 Bn |
| Sep 30, 2022 | 19.27 Bn |
| Jun 30, 2022 | 18.90 Bn |
| Mar 31, 2022 | 18.37 Bn |
| Dec 31, 2021 | 18.09 Bn |
| Sep 30, 2021 | 18.66 Bn |
Old Republic International 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=ORI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ORI", "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=ORI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();