Employers Holdings (EIG) Non Operating Interest Expenses (2010 - 2023)
Employers Holdings (EIG) reported Non Operating Interest Expenses of $600,000 for Q4 2023, down 68.4% from $1.9 million a year earlier and down 40.0% from the prior quarter.
Employers Holdings (EIG) Non Operating Interest Expenses (2010 - 2023) Analysis & Trends
For FY2023, Employers Holdings posted Non Operating Interest Expenses of $5.8 million, up 65.7% from FY2022.
- Non Operating Interest Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 31.1% (FY2018 to FY2023).
- By year, Non Operating Interest Expenses came in at $3.5 million in FY2022 (+600.0%), $500,000 in FY2021 (+25.0%), $400,000 in FY2020 (-33.3%) and $600,000 in FY2019 (-60.0%).
- The Q4 2023 figure ranks as the lowest quarterly Non Operating Interest Expenses since Q2 2022.
- Year over year, Non Operating Interest Expenses gained in two of the last five quarters, with growth averaging 101.2%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q2 2023 (growth of 533.3%); the low point was Q4 2021 (a decline of 75.0%).
- Per Business Quant data, the three quarters before Q4 2023 came in at $1 million (Q3 2023), $1.9 million (Q2 2023) and $2.3 million (Q1 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 1.34 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 200.00 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 88.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 250.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 113.00 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | -280.50 Mn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | - |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 179.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 168.00 Mn |
| 10 | Employers Holdings | 858.04 Mn | -556.56 Mn | 97.90 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 600,000.00 |
| Sep 30, 2023 | 1.00 Mn |
| Jun 30, 2023 | 1.90 Mn |
| Mar 31, 2023 | 2.30 Mn |
| Dec 31, 2022 | 1.90 Mn |
| Sep 30, 2022 | 1.10 Mn |
| Jun 30, 2022 | 300,000.00 |
| Mar 31, 2022 | 100,000.00 |
| Dec 31, 2021 | 100,000.00 |
| Sep 30, 2021 | 100,000.00 |
| Jun 30, 2021 | 200,000.00 |
| Mar 31, 2021 | 100,000.00 |
| Dec 31, 2020 | 400,000.00 |
| Jun 30, 2019 | 200,000.00 |
| Mar 31, 2019 | 400,000.00 |
| Dec 31, 2018 | 400,000.00 |
| Sep 30, 2018 | 400,000.00 |
| Jun 30, 2018 | 400,000.00 |
| Mar 31, 2018 | 300,000.00 |
| Dec 31, 2017 | 300,000.00 |
Employers Holdings Non Operating Interest 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=non-operating-interest-expenses&ticker=EIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=EIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();