Hartford Insurance (HIG) Long-Term Debt Repayments (2009 - 2015)
Hartford Insurance's Long-Term Debt Repayments came in at $275 million for FY2016, down 64.4% from $773 million in FY2015.
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Analysis
Hartford Insurance (HIG) Long-Term Debt Repayments (2009 - 2015) Analysis & Trends
Going back to FY2009, Hartford Insurance's Long-Term Debt Repayments data covers 8 years.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -7.5% (FY2011 to FY2016).
- The five-year range for annual Long-Term Debt Repayments is $200 million (FY2014) to $2.13 billion (FY2012).
- Per Business Quant, earlier years put Long-Term Debt Repayments at $773 million in FY2015 (+286.5%), $200 million in FY2014 (-85.1%), $1.34 billion in FY2013 (-37.3%) and $2.13 billion in FY2012 (+426.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | 1.50 Bn |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 637.00 Mn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | - |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | - |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | 230.00 Mn |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | - |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | - |
| 10 | Hartford Insurance | 37.14 Bn | 20.83 Bn | 3.18 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 188.00 Mn |
| Jun 30, 2015 | 296.00 Mn |
| Mar 31, 2015 | 289.00 Mn |
| Mar 31, 2014 | 200.00 Mn |
| Sep 30, 2013 | 320.00 Mn |
| Mar 31, 2013 | 1.02 Bn |
| Jun 30, 2010 | 275.00 Mn |
| Mar 31, 2010 | 68.00 Mn |
| Mar 31, 2009 | 24.00 Mn |
API Access
Hartford Insurance Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=HIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "HIG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=HIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();