Erie Indemnity (ERIE) Tax Provisions (2009 - 2026)
Erie Indemnity's (ERIE) quarterly Tax Provisions came in at $47.8 million in Q2 2026, up 3.74% year-over-year from $46.1 million in Q2 2025, and up 19.9% quarter-over-quarter from $39.9 million in Q1 2026.
Erie Indemnity (ERIE) Tax Provisions (2009 - 2026) Analysis & Trends
Erie Indemnity has disclosed Tax Provisions across 18 years of filings, most recently posting $47.8 million for Q2 2026.
- In Q2 2026, Tax Provisions rose 3.74% year-over-year to $47.8 million; the TTM figure through Jun 2026 stood at $156.5 million (down 4.09% YoY), while the FY2025 annual figure was $151.3 million, down 3.63% from the prior year.
- Tax Provisions came in at $47.8 million for Q2 2026 at Erie Indemnity, up from $39.9 million in the prior quarter.
- In the past five years, Tax Provisions ranged from a high of $49.9 million in Q3 2025 to a low of $16.5 million in Q4 2022.
- Average Tax Provisions over 5 years is $32.8 million, with a median of $32.7 million recorded in 2023.
- Year-over-year, Tax Provisions jumped 76.04% in 2023 and slumped 52.31% in 2025.
- Over 5 years, Tax Provisions stood at $16.5 million in 2022, then jumped by 76.04% to $29.0 million in 2023, then soared by 37.19% to $39.8 million in 2024, then tumbled by 52.31% to $19.0 million in 2025, then soared by 151.9% to $47.8 million in 2026.
- Per Business Quant data, the three most recent Tax Provisions figures were $47.8 million in Q2 2026, $39.9 million in Q1 2026, and $19.0 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn | 411.00 Mn |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - | 159.00 Mn |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - | 90.00 Mn |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn | 57.00 Mn |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn | 94.00 Mn |
| 6 | XChange TEC.INC | 11.95 Bn | 11.95 Bn | - | - |
| 7 | Erie Indemnity | 10.83 Bn | 10.48 Bn | - | 47.78 Mn |
| 8 | Ryan Specialty Holdings | 9.82 Bn | 10.19 Bn | - | 22.35 Mn |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn | -5.81 Mn |
| 10 | Baldwin Insurance | 4.45 Bn | 4.81 Bn | - | 84,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.78 Mn |
| Mar 31, 2026 | 39.85 Mn |
| Dec 31, 2025 | 18.97 Mn |
| Sep 30, 2025 | 49.91 Mn |
| Jun 30, 2025 | 46.06 Mn |
| Mar 31, 2025 | 36.33 Mn |
| Dec 31, 2024 | 39.78 Mn |
| Sep 30, 2024 | 41.01 Mn |
| Jun 30, 2024 | 43.42 Mn |
| Mar 31, 2024 | 32.75 Mn |
| Dec 31, 2023 | 29.00 Mn |
| Sep 30, 2023 | 32.73 Mn |
| Jun 30, 2023 | 31.24 Mn |
| Mar 31, 2023 | 22.91 Mn |
| Dec 31, 2022 | 16.47 Mn |
| Sep 30, 2022 | 22.04 Mn |
| Jun 30, 2022 | 21.20 Mn |
| Mar 31, 2022 | 18.18 Mn |
| Dec 31, 2021 | 14.79 Mn |
| Sep 30, 2021 | 23.90 Mn |
Erie Indemnity 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=ERIE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "ERIE", "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=ERIE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();