Old Republic International (ORI) Tax Provisions (2009 - 2026)
Old Republic International (ORI) posted Tax Provisions of $85.7 million for Q2 2026, up 65.8% from $51.7 million a year earlier and up 2.3% from the prior quarter.
Old Republic International (ORI) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Old Republic International was $298.3 million, up 31.5% year-over-year; for FY2025, it was $242.1 million, up 11.6% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- In prior years, Old Republic International's Tax Provisions was $216.9 million in FY2024 (+45.9%), $148.7 million in FY2023 (-13.0%), $170.9 million in FY2022 (-55.9%) and $387.7 million in FY2021 (+198.9%).
- The Q2 2026 figure stands as the highest quarterly Tax Provisions since Q3 2024.
- On a year-over-year basis, Tax Provisions has increased in each of the last three quarters, with growth averaging 119.3% over the last eight quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q3 2024, with growth of 678.8%; the weakest was Q3 2021, with a decline of 71.8%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $83.8 million (Q1 2026), $56 million (Q4 2025) and $72.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 6.29 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 742.00 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 898.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 411.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 559.00 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | -328.21 Mn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 256.00 Mn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 159.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 90.00 Mn |
| 10 | Old Republic International | 9.02 Bn | 9.03 Bn | 1.61 Bn | 85.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.70 Mn |
| Mar 31, 2026 | 83.80 Mn |
| Dec 31, 2025 | 56.00 Mn |
| Sep 30, 2025 | 72.80 Mn |
| Jun 30, 2025 | 51.70 Mn |
| Mar 31, 2025 | 61.60 Mn |
| Dec 31, 2024 | 25.50 Mn |
| Sep 30, 2024 | 88.00 Mn |
| Jun 30, 2024 | 21.40 Mn |
| Mar 31, 2024 | 81.90 Mn |
| Dec 31, 2023 | 46.70 Mn |
| Sep 30, 2023 | 11.30 Mn |
| Jun 30, 2023 | 41.30 Mn |
| Mar 31, 2023 | 49.30 Mn |
| Dec 31, 2022 | 136.90 Mn |
| Sep 30, 2022 | -27.80 Mn |
| Jun 30, 2022 | -14.40 Mn |
| Mar 31, 2022 | 76.30 Mn |
| Dec 31, 2021 | 162.50 Mn |
| Sep 30, 2021 | 17.20 Mn |
Old Republic International Tax Provisions 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=tax-provisions&ticker=ORI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ORI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();