Sun Life Financial (SLF) Operating Expenses (2009 - 2026)
Sun Life Financial (SLF) posted Operating Expenses of $1.71 billion for Q2 2026, up 6.4% from $1.61 billion a year earlier but down 12.0% from the prior quarter.
Sun Life Financial (SLF) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Sun Life Financial was $6.94 billion, up 9.4% year-over-year; for FY2025, it came in at $6.46 billion, up 3.0% from FY2024.
- Annual Operating Expenses has increased for three consecutive years, though with a five-year compound annual growth rate of -26.4% (FY2020 to FY2025).
- In prior years, Sun Life Financial's Operating Expenses was $6.28 billion in FY2024 (+6.9%), $5.87 billion in FY2023 (+12.4%), $5.22 billion in FY2022 and -$47 million in FY2021.
- Quarterly Operating Expenses has run from a low of -$788.27 million in Q4 2022 to a high of $9.3 billion in Q4 2021 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 6.0%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 324.5%; the weakest was Q2 2022, with a decline of 91.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $1.95 billion (Q1 2026), $1.69 billion (Q4 2025) and $1.59 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.09 Bn | 84.67 Bn | 9.13 Bn | 12.19 Bn |
| 2 | Progressive | 127.57 Bn | 103.40 Bn | 9.04 Bn | 19.40 Bn |
| 3 | Marsh & Mclennan Companies | 89.82 Bn | 81.98 Bn | - | 5.65 Bn |
| 4 | Travelers Companies | 80.92 Bn | 57.17 Bn | 6.23 Bn | 9.39 Bn |
| 5 | Manulife Financial | 75.09 Bn | -19.79 Bn | - | -902.21 Mn |
| 6 | Arthur J. Gallagher | 64.98 Bn | 59.38 Bn | - | 3.59 Bn |
| 7 | Metlife | 64.10 Bn | -42.68 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Allstate | 63.22 Bn | 24.49 Bn | 8.73 Bn | 14.45 Bn |
| 9 | Aon | 61.77 Bn | 54.99 Bn | - | 3.33 Bn |
| 10 | Sun Life Financial | 44.33 Bn | 2.29 Bn | - | 1.71 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.71 Bn |
| Mar 31, 2026 | 1.95 Bn |
| Dec 31, 2025 | 1.69 Bn |
| Sep 30, 2025 | 1.59 Bn |
| Jun 30, 2025 | 1.61 Bn |
| Mar 31, 2025 | 1.57 Bn |
| Dec 31, 2024 | 1.84 Bn |
| Sep 30, 2024 | 1.32 Bn |
| Jun 30, 2024 | 1.61 Bn |
| Mar 31, 2024 | 1.62 Bn |
| Dec 31, 2023 | 1.53 Bn |
| Sep 30, 2023 | 1.49 Bn |
| Jun 30, 2023 | 1.51 Bn |
| Mar 31, 2023 | 1.39 Bn |
| Dec 31, 2022 | -788.27 Mn |
| Sep 30, 2022 | 6.10 Bn |
| Jun 30, 2022 | 769.44 Mn |
| Mar 31, 2022 | -615.79 Mn |
| Dec 31, 2021 | 9.30 Bn |
| Sep 30, 2021 | 5.76 Bn |
Sun Life Financial 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=operating-expenses&ticker=SLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SLF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=SLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();