Fidelity National Financial (FNF) Change in Accured Expenses (2010 - 2020)
Fidelity National Financial's Change in Accured Expenses came in at $177 million for Q2 2020, up 45.1% from $122 million a year earlier.
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Analysis
Fidelity National Financial (FNF) Change in Accured Expenses (2010 - 2020) Analysis & Trends
Over the trailing twelve months to Jun 30, 2020, Fidelity National Financial reported Change in Accured Expenses of $156 million, up 4.0% year-over-year.
- The Q2 2020 figure represents the highest quarterly Change in Accured Expenses in data going back to Q1 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | - |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 108.00 Mn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 216.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 685.00 Mn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 535.00 Mn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 51.00 Mn |
| 10 | Fidelity National Financial | 10.52 Bn | -6.53 Bn | 3.97 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 177.00 Mn |
| Mar 31, 2020 | -228.00 Mn |
| Sep 30, 2019 | 85.00 Mn |
| Jun 30, 2019 | 122.00 Mn |
| Mar 31, 2019 | -106.00 Mn |
| Sep 30, 2018 | 9.00 Mn |
| Jun 30, 2018 | 125.00 Mn |
| Mar 31, 2018 | -150.00 Mn |
| Mar 31, 2011 | -85.60 Mn |
| Mar 31, 2010 | -88.60 Mn |
API Access
Fidelity National Financial Change in Accured 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=change-in-accured-expenses&ticker=FNF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "FNF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=FNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();