Fidelity National Financial (FNF) Total Non-Current Liabilities (2014 - 2019)
Fidelity National Financial (FNF) reported Total Non-Current Liabilities of $4.41 billion for Q3 2019, up 14.6% from $3.85 billion a year earlier and up 1.9% from the prior quarter.
Fidelity National Financial (FNF) Total Non-Current Liabilities (2014 - 2019) Analysis & Trends
At the end of FY2018, Fidelity National Financial posted Total Non-Current Liabilities of $3.85 billion, down 0.1% from FY2017.
- Total Non-Current Liabilities has a four-year compound annual growth rate of -14.3% (FY2014 to FY2018).
- By year, Total Non-Current Liabilities came in at $3.85 billion in FY2017 (-43.0%), $6.76 billion in FY2016 (+1.8%), $6.64 billion in FY2015 (-7.1%) and $7.15 billion in FY2014.
- The Q3 2019 figure ranks as the highest quarterly Total Non-Current Liabilities since Q2 2017.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with an average decline of 11.7% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2019 (growth of 16.0%); the low point was Q1 2018 (a decline of 43.2%).
- Per Business Quant data, the three quarters before Q3 2019 came in at $4.33 billion (Q2 2019), $4.17 billion (Q1 2019) and $3.85 billion (Q4 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | 193.01 Bn |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 43.45 Bn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | 103.73 Bn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | 709.73 Bn |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | 55.80 Bn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | 515.80 Bn |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | 91.05 Bn |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | 42.27 Bn |
| 10 | Fidelity National Financial | 10.84 Bn | -7.56 Bn | 3.97 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 4.41 Bn |
| Jun 30, 2019 | 4.33 Bn |
| Mar 31, 2019 | 4.17 Bn |
| Dec 31, 2018 | 3.85 Bn |
| Sep 30, 2018 | 3.85 Bn |
| Jun 30, 2018 | 3.73 Bn |
| Mar 31, 2018 | 3.71 Bn |
| Dec 31, 2017 | 3.85 Bn |
| Sep 30, 2017 | 4.21 Bn |
| Jun 30, 2017 | 6.39 Bn |
| Mar 31, 2017 | 6.54 Bn |
| Dec 31, 2016 | 6.76 Bn |
| Sep 30, 2016 | 6.70 Bn |
| Jun 30, 2016 | 6.67 Bn |
| Mar 31, 2016 | 6.53 Bn |
| Dec 31, 2015 | 6.64 Bn |
| Sep 30, 2015 | 6.75 Bn |
| Jun 30, 2015 | 6.85 Bn |
| Dec 31, 2014 | 7.15 Bn |
Fidelity National Financial Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=FNF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=FNF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();