United Fire (UFCS) Operating Interest Expenses (2010 - 2017)
United Fire's Operating Interest Expenses came in at $4.65 million for Q2 2017, down 9.5% from $5.14 million a year earlier and down 2.0% from the prior quarter.
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Analysis
United Fire (UFCS) Operating Interest Expenses (2010 - 2017) Analysis & Trends
Over the trailing twelve months to Jun 30, 2017, United Fire reported Operating Interest Expenses of $19.09 million, down 10.9% year-over-year; for FY2016, it was $20.08 million, down 15.2% from FY2015.
- Operating Interest Expenses has declined in each of the last six years, with a five-year compound annual growth rate of -14.1% (FY2011 to FY2016).
- Going back by year, Operating Interest Expenses was $23.68 million in FY2015 (-21.7%), $30.25 million in FY2014 (-14.0%), $35.16 million in FY2013 (-15.1%) and $41.41 million in FY2012 (-3.3%).
- The Q2 2017 figure represents the lowest quarterly Operating Interest Expenses in data going back to Q2 2010.
- Year-over-year, Operating Interest Expenses has declined for 24 consecutive quarters, with an average decline of 15.7% over the last eight quarters.
- Over the past five years, the year-over-year decline in Operating Interest Expenses ranged from 5.2% (Q3 2012) to 25.8% (Q3 2015).
- Business Quant data shows UFCS's Operating Interest Expenses at $4.74 million (Q1 2017), $4.71 million (Q4 2016) and $4.98 million (Q3 2016) in the three quarters before Q2 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | - |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | - |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | - |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | - |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | - |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | - |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | - |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | 3.07 Bn |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | - |
| 10 | United Fire | 1.28 Bn | 669.93 Mn | 175.27 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | 4.65 Mn |
| Mar 31, 2017 | 4.74 Mn |
| Dec 31, 2016 | 4.71 Mn |
| Sep 30, 2016 | 4.98 Mn |
| Jun 30, 2016 | 5.14 Mn |
| Mar 31, 2016 | 5.25 Mn |
| Dec 31, 2015 | 5.47 Mn |
| Sep 30, 2015 | 5.57 Mn |
| Jun 30, 2015 | 6.02 Mn |
| Mar 31, 2015 | 6.62 Mn |
| Dec 31, 2014 | 6.90 Mn |
| Sep 30, 2014 | 7.50 Mn |
| Jun 30, 2014 | 7.85 Mn |
| Mar 31, 2014 | 7.99 Mn |
| Dec 31, 2013 | 8.14 Mn |
| Sep 30, 2013 | 8.63 Mn |
| Jun 30, 2013 | 9.08 Mn |
| Mar 31, 2013 | 9.32 Mn |
| Dec 31, 2012 | 9.80 Mn |
| Sep 30, 2012 | 10.33 Mn |
API Access
United Fire Operating 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=operating-interest-expenses&ticker=UFCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-expenses", "ticker": "UFCS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-interest-expenses&ticker=UFCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();