Erie Indemnity (ERIE) Total Current Liabilities (2014 - 2026)
Erie Indemnity (ERIE) reported Total Current Liabilities of $968.42 million for Q2 2026, up 12.4% from $861.68 million a year earlier and up 7.6% from the prior quarter.
Erie Indemnity (ERIE) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Erie Indemnity posted Total Current Liabilities of $945.59 million, up 17.8% from FY2024.
- Total Current Liabilities has increased for 11 consecutive years, with a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $802.51 million in FY2024 (+13.2%), $708.98 million in FY2023 (+6.6%), $665.11 million in FY2022 (+5.4%) and $630.86 million in FY2021 (+0.5%).
- The Q2 2026 figure ranks as the highest quarterly Total Current Liabilities in data going back to Q4 2014.
- Year over year, Total Current Liabilities has now increased in each of the last 20 quarters, with growth averaging 13.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Current Liabilities ranged from 0.5% (Q4 2021) to 19.0% (Q1 2024).
- Per Business Quant data, the three quarters before Q2 2026 came in at $899.91 million (Q1 2026), $945.59 million (Q4 2025) and $897.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,079.16 Bn | -338.32 Bn | 55.86 Bn | - |
| 2 | Chubb | 127.75 Bn | 79.80 Bn | 9.13 Bn | - |
| 3 | Progressive | 122.68 Bn | 98.52 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 82.15 Bn | 73.89 Bn | - | 21.36 Bn |
| 5 | Travelers Companies | 75.41 Bn | 51.66 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 72.51 Bn | 73.72 Bn | - | 751.17 Bn |
| 7 | Metlife | 60.18 Bn | -46.30 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 59.45 Bn | 53.89 Bn | - | 43.17 Bn |
| 9 | Aon | 58.55 Bn | 51.79 Bn | - | 27.23 Bn |
| 10 | Erie Indemnity | 10.26 Bn | 8.58 Bn | - | 968.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 968.42 Mn |
| Mar 31, 2026 | 899.91 Mn |
| Dec 31, 2025 | 945.59 Mn |
| Sep 30, 2025 | 897.57 Mn |
| Jun 30, 2025 | 861.68 Mn |
| Mar 31, 2025 | 812.29 Mn |
| Dec 31, 2024 | 802.51 Mn |
| Sep 30, 2024 | 806.94 Mn |
| Jun 30, 2024 | 772.27 Mn |
| Mar 31, 2024 | 727.52 Mn |
| Dec 31, 2023 | 708.98 Mn |
| Sep 30, 2023 | 680.91 Mn |
| Jun 30, 2023 | 652.09 Mn |
| Mar 31, 2023 | 611.57 Mn |
| Dec 31, 2022 | 665.11 Mn |
| Sep 30, 2022 | 634.19 Mn |
| Jun 30, 2022 | 636.57 Mn |
| Mar 31, 2022 | 601.33 Mn |
| Dec 31, 2021 | 630.86 Mn |
| Sep 30, 2021 | 614.26 Mn |
Erie Indemnity Total Current 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-current-liabilities&ticker=ERIE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=ERIE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();