Amerisafe (AMSF) Interest Expenses (2010 - 2012)
Amerisafe (AMSF) recorded Interest Expenses of $566,000 in FY2012, down 56.8% from $1.31 million in FY2011.
Analysis
Amerisafe (AMSF) Interest Expenses (2010 - 2012) Analysis & Trends
Starting with FY2009, Amerisafe's Interest Expenses history includes 4 years.
- Annual Interest Expenses has declined for three straight years, with a three-year compound annual growth rate of -32.1% (FY2009 to FY2012).
- Per Business Quant data, AMSF's Interest Expenses was $1.31 million in FY2011 (-15.3%), $1.55 million in FY2010 (-14.5%) and $1.81 million in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 1.34 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 200.00 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 88.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 250.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 113.00 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | -280.50 Mn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 3.07 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 179.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 168.00 Mn |
| 10 | Amerisafe | 438.01 Mn | -12.22 Mn | 43.63 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2012 | 80,000.00 |
| Jun 30, 2012 | 207,000.00 |
| Mar 31, 2012 | 279,000.00 |
| Dec 31, 2011 | 275,000.00 |
| Sep 30, 2011 | 277,000.00 |
| Jun 30, 2011 | 380,000.00 |
| Mar 31, 2011 | 379,000.00 |
| Dec 31, 2010 | 388,000.00 |
| Sep 30, 2010 | 400,000.00 |
| Jun 30, 2010 | 385,000.00 |
API Access
Amerisafe Interest 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=interest-expenses&ticker=AMSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "AMSF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=AMSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();