Sun Life Financial (SLF) Non-cash Items (2010 - 2016)
Sun Life Financial's Non-cash Items came in at $376.82 million for FY2023.
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Analysis
Sun Life Financial (SLF) Non-cash Items (2010 - 2016) Analysis & Trends
Going back to FY2010, Sun Life Financial's Non-cash Items data covers 8 years.
- The FY2023 figure represents the highest annual Non-cash Items since FY2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 138.35 Bn | 84.93 Bn | 9.13 Bn |
| 2 | Progressive | 129.14 Bn | 104.97 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 91.11 Bn | 83.27 Bn | - |
| 4 | Travelers Companies | 83.32 Bn | 59.56 Bn | 6.23 Bn |
| 5 | Manulife Financial | 75.74 Bn | -19.14 Bn | - |
| 6 | Arthur J. Gallagher | 66.49 Bn | 60.90 Bn | - |
| 7 | Metlife | 64.97 Bn | -41.81 Bn | 7.82 Bn |
| 8 | Allstate | 63.98 Bn | 25.25 Bn | 8.73 Bn |
| 9 | Aon | 63.25 Bn | 56.46 Bn | - |
| 10 | Sun Life Financial | 44.79 Bn | 2.75 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | -455.06 Mn |
| Sep 30, 2016 | -131.18 Mn |
| Jun 30, 2016 | -62.07 Mn |
| Mar 31, 2016 | 370.10 Mn |
| Dec 31, 2015 | -140.88 Mn |
| Sep 30, 2015 | 150.84 Mn |
| Jun 30, 2015 | -191.81 Mn |
| Mar 31, 2015 | 42.05 Mn |
| Dec 31, 2014 | 47.56 Mn |
| Sep 30, 2014 | 149.90 Mn |
| Jun 30, 2014 | 109.07 Mn |
| Mar 31, 2014 | -53.57 Mn |
| Dec 31, 2013 | -98.19 Mn |
| Sep 30, 2013 | 3.85 Mn |
| Jun 30, 2013 | -523.13 Mn |
| Mar 31, 2013 | -360.46 Mn |
| Dec 31, 2012 | 108.99 Mn |
| Sep 30, 2012 | 6.02 Mn |
| Jun 30, 2012 | 287.32 Mn |
| Mar 31, 2012 | -245.68 Mn |
API Access
Sun Life Financial Non-cash Items 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-cash-items&ticker=SLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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=non-cash-items&ticker=SLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();