Erie Indemnity (ERIE) Prepaid Assets (2014 - 2026)
Erie Indemnity's (ERIE) quarterly Prepaid Assets came in at $92.5 million in Q2 2026, up 30.08% year-over-year from $71.1 million in Q2 2025, and up 16.08% quarter-over-quarter from $79.7 million in Q1 2026.
Erie Indemnity (ERIE) Prepaid Assets (2014 - 2026) Analysis & Trends
Erie Indemnity has disclosed Prepaid Assets across 13 years of filings, most recently posting $92.5 million for Q2 2026.
- In Q2 2026, Prepaid Assets rose 30.08% year-over-year to $92.5 million; the TTM figure through Jun 2026 stood at $92.5 million (up 30.08% YoY), while the FY2025 annual figure was $66.1 million, down 21.26% from the prior year.
- Prepaid Assets came in at $92.5 million for Q2 2026 at Erie Indemnity, up from $79.7 million in the prior quarter.
- In the past five years, Prepaid Assets ranged from a high of $92.5 million in Q2 2026 to a low of $49.4 million in Q3 2022.
- Average Prepaid Assets over 5 years is $72.6 million, with a median of $72.6 million recorded in 2023.
- Year-over-year, Prepaid Assets surged 44.81% in 2023 and retreated 21.26% in 2025.
- Over 5 years, Prepaid Assets stood at $79.2 million in 2022, then slipped by 12.47% to $69.3 million in 2023, then increased by 21.03% to $83.9 million in 2024, then fell by 21.26% to $66.1 million in 2025, then surged by 40.07% to $92.5 million in 2026.
- Per Business Quant data, the three most recent Prepaid Assets figures were $92.5 million in Q2 2026, $79.7 million in Q1 2026, and $66.1 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn |
| 6 | XChange TEC.INC | 11.95 Bn | 11.95 Bn | - |
| 7 | Erie Indemnity | 10.83 Bn | 10.48 Bn | - |
| 8 | Ryan Specialty Holdings | 9.82 Bn | 10.19 Bn | - |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn |
| 10 | Baldwin Insurance | 4.45 Bn | 4.81 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.53 Mn |
| Mar 31, 2026 | 79.71 Mn |
| Dec 31, 2025 | 66.06 Mn |
| Sep 30, 2025 | 73.78 Mn |
| Jun 30, 2025 | 71.13 Mn |
| Mar 31, 2025 | 78.39 Mn |
| Dec 31, 2024 | 83.90 Mn |
| Sep 30, 2024 | 80.14 Mn |
| Jun 30, 2024 | 83.53 Mn |
| Mar 31, 2024 | 69.05 Mn |
| Dec 31, 2023 | 69.32 Mn |
| Sep 30, 2023 | 71.48 Mn |
| Jun 30, 2023 | 66.40 Mn |
| Mar 31, 2023 | 62.74 Mn |
| Dec 31, 2022 | 79.20 Mn |
| Sep 30, 2022 | 49.36 Mn |
| Jun 30, 2022 | 50.51 Mn |
| Mar 31, 2022 | 78.88 Mn |
| Dec 31, 2021 | 56.21 Mn |
| Sep 30, 2021 | 55.00 Mn |
Erie Indemnity Prepaid Assets 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=prepaid-assets&ticker=ERIE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=ERIE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();