Employers Holdings (EIG) Other Operating Expenses (2009 - 2026)
Employers Holdings (EIG) recorded Other Operating Expenses of $39.7 million in Q2 2026, down 7.9% from $43.1 million a year earlier and down 2.9% from the prior quarter.
Employers Holdings (EIG) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Employers Holdings' Other Operating Expenses came in at $246 million as of Jun 30, 2026, up 40.2% year-over-year; for FY2025, it came in at $165.4 million, down 6.3% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $176.5 million in FY2024 (-1.9%), $180 million in FY2023 (+7.6%), $167.3 million in FY2022 (+4.4%) and $160.2 million in FY2021 (-11.6%).
- Quarterly Other Operating Expenses has ranged from $1.1 million in Q3 2025 to $164.3 million in Q4 2025 over the past five years.
- On a year-over-year basis, Other Operating Expenses rose in two of the last eight quarters, with growth averaging 17.7%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 254.9% in Q4 2025, against a decline of 97.5% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $40.9 million (Q1 2026), $164.3 million (Q4 2025) and $1.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - |
| 10 | Employers Holdings | 858.04 Mn | -556.56 Mn | 97.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.70 Mn |
| Mar 31, 2026 | 40.90 Mn |
| Dec 31, 2025 | 164.30 Mn |
| Sep 30, 2025 | 1.10 Mn |
| Jun 30, 2025 | 43.10 Mn |
| Mar 31, 2025 | 42.90 Mn |
| Dec 31, 2024 | 46.30 Mn |
| Sep 30, 2024 | 43.20 Mn |
| Jun 30, 2024 | 41.40 Mn |
| Mar 31, 2024 | 45.80 Mn |
| Dec 31, 2023 | 46.30 Mn |
| Sep 30, 2023 | 43.50 Mn |
| Jun 30, 2023 | 46.00 Mn |
| Mar 31, 2023 | 44.40 Mn |
| Dec 31, 2022 | 46.70 Mn |
| Sep 30, 2022 | 41.90 Mn |
| Jun 30, 2022 | 39.40 Mn |
| Mar 31, 2022 | 39.30 Mn |
| Dec 31, 2021 | 39.20 Mn |
| Sep 30, 2021 | 37.40 Mn |
Employers Holdings Other Operating Expenses 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=other-operating-expenses&ticker=EIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "EIG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=EIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();