Employers Holdings (EIG) Amortizatization of Intangibles (2019 - 2026)
Employers Holdings' Amortizatization of Intangibles came in at $2.4 million for Q2 2026, unchanged from $2.4 million a year earlier and up 14.3% from the prior quarter.
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Analysis
Employers Holdings (EIG) Amortizatization of Intangibles (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Employers Holdings reported Amortizatization of Intangibles of $7.1 million, down 34.3% year-over-year; for FY2025, it came in at $7.6 million, down 42.0% from FY2024.
- Amortizatization of Intangibles carries a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- Going back by year, Amortizatization of Intangibles was $13.1 million in FY2024 (-21.6%), $16.7 million in FY2023 (+1.8%), $16.4 million in FY2022 (+15.5%) and $14.2 million in FY2021 (+57.8%).
- The five-year range for quarterly Amortizatization of Intangibles is -$200,000 (Q4 2025) to $4.8 million (Q3 2021).
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q3 2021 (growth of 100.0%), and the weakest in Q2 2025 (a decline of 46.7%).
- Business Quant data shows EIG's Amortizatization of Intangibles at $2.1 million (Q1 2026), -$200,000 (Q4 2025) and $2.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | - |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 74.00 Mn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 137.00 Mn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 174.00 Mn |
| 10 | Employers Holdings | 882.27 Mn | -532.33 Mn | 97.90 Mn | 2.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.40 Mn |
| Mar 31, 2026 | 2.10 Mn |
| Dec 31, 2025 | -200,000.00 |
| Sep 30, 2025 | 2.80 Mn |
| Jun 30, 2025 | 2.40 Mn |
| Mar 31, 2025 | 2.60 Mn |
| Dec 31, 2024 | 2.70 Mn |
| Sep 30, 2024 | 3.10 Mn |
| Jun 30, 2024 | 4.50 Mn |
| Mar 31, 2024 | 2.80 Mn |
| Dec 31, 2023 | 4.10 Mn |
| Sep 30, 2023 | 4.20 Mn |
| Jun 30, 2023 | 4.10 Mn |
| Mar 31, 2023 | 4.30 Mn |
| Dec 31, 2022 | 4.30 Mn |
| Sep 30, 2022 | 4.20 Mn |
| Jun 30, 2022 | 3.90 Mn |
| Mar 31, 2022 | 4.00 Mn |
| Dec 31, 2021 | 3.20 Mn |
| Sep 30, 2021 | 4.80 Mn |
API Access
Employers Holdings Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=EIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=EIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();