Sun Life Financial (SLF) Other Accumulated Expenses (2009 - 2024)
Sun Life Financial (SLF) posted Other Accumulated Expenses of $10.39 trillion for Q4 2024, up 343.7% from $2.34 trillion a year earlier.
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Analysis
Sun Life Financial (SLF) Other Accumulated Expenses (2009 - 2024) Analysis & Trends
Since Q4 2011, Sun Life Financial has reported Other Accumulated Expenses for 13 quarters.
- In prior years, Sun Life Financial's Other Accumulated Expenses was $2.34 trillion in FY2023 (-0.4%) and $2.35 trillion in FY2022.
- The Q4 2024 figure stands as the highest quarterly Other Accumulated Expenses in data going back to Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 137.81 Bn | 84.40 Bn | 9.13 Bn |
| 2 | Progressive | 132.82 Bn | 108.66 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 93.86 Bn | 86.02 Bn | - |
| 4 | Travelers Companies | 83.90 Bn | 60.15 Bn | 6.23 Bn |
| 5 | Manulife Financial | 75.75 Bn | -19.13 Bn | - |
| 6 | Arthur J. Gallagher | 68.73 Bn | 63.14 Bn | - |
| 7 | Allstate | 64.78 Bn | 26.04 Bn | 8.73 Bn |
| 8 | Aon | 64.40 Bn | 57.62 Bn | - |
| 9 | Metlife | 63.79 Bn | -42.99 Bn | 7.82 Bn |
| 10 | Sun Life Financial | 44.65 Bn | 2.61 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 10.12 Bn |
| Dec 31, 2023 | 2,409.75 Bn |
| Dec 31, 2022 | 2,354.63 Bn |
| Dec 31, 2021 | 8.00 Bn |
| Dec 31, 2020 | 647.02 Mn |
| Dec 31, 2018 | 956.00 Mn |
| Dec 31, 2017 | 541.00 Mn |
| Dec 31, 2015 | 1.02 Bn |
| Dec 31, 2014 | 652.00 Mn |
| Dec 31, 2012 | 657.68 Mn |
| Dec 31, 2011 | 665.49 Mn |
| Dec 31, 2010 | 4.41 Bn |
| Sep 30, 2010 | 3.20 Bn |
| Jun 30, 2010 | 2.07 Bn |
| Mar 31, 2010 | 1.08 Bn |
| Dec 31, 2009 | 4.12 Bn |
| Sep 30, 2009 | 3.06 Bn |
| Jun 30, 2009 | 1.88 Bn |
| Mar 31, 2009 | 885.10 Mn |
API Access
Sun Life Financial Other Accumulated 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-accumulated-expenses&ticker=SLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=SLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();