Unum (UNM) Other Operating Expenses (2009 - 2026)
Unum (UNM) recorded Other Operating Expenses of $366.7 million in Q2 2026, up 13.4% from $323.5 million a year earlier and up 2.5% from the prior quarter.
Unum (UNM) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Unum's Other Operating Expenses came in at $1.58 billion as of Jun 30, 2026, up 24.2% year-over-year; for FY2025, it was $1.5 billion, up 22.6% from FY2024.
- Annual Other Operating Expenses has increased for ten straight years, with a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $1.22 billion in FY2024 (+10.0%), $1.11 billion in FY2023 (+10.5%), $1.01 billion in FY2022 (+0.7%) and $999.3 million in FY2021 (+0.3%).
- Quarterly Other Operating Expenses has ranged from $240.5 million in Q1 2022 to $496.9 million in Q4 2025 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for 15 consecutive quarters, with growth averaging 17.2% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 55.6% in Q4 2025, against a decline of 7.3% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $357.8 million (Q1 2026), $496.9 million (Q4 2025) and $360 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 | Unum | 13.89 Bn | 4.34 Bn | 1.38 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 366.70 Mn |
| Mar 31, 2026 | 357.80 Mn |
| Dec 31, 2025 | 496.90 Mn |
| Sep 30, 2025 | 360.00 Mn |
| Jun 30, 2025 | 323.50 Mn |
| Mar 31, 2025 | 318.60 Mn |
| Dec 31, 2024 | 319.40 Mn |
| Sep 30, 2024 | 311.50 Mn |
| Jun 30, 2024 | 300.70 Mn |
| Mar 31, 2024 | 291.10 Mn |
| Dec 31, 2023 | 293.40 Mn |
| Sep 30, 2023 | 271.80 Mn |
| Jun 30, 2023 | 273.60 Mn |
| Mar 31, 2023 | 273.20 Mn |
| Dec 31, 2022 | 272.30 Mn |
| Sep 30, 2022 | 243.90 Mn |
| Jun 30, 2022 | 250.00 Mn |
| Mar 31, 2022 | 240.50 Mn |
| Dec 31, 2021 | 252.50 Mn |
| Sep 30, 2021 | 251.50 Mn |
Unum 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=UNM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "UNM", "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=UNM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();