Kemper (KMPR) Cost of Revenue (2009 - 2019)
Kemper's Cost of Revenue came in at $765.4 million for Q1 2019, up 75.2% from $436.9 million a year earlier but down 1.0% from the prior quarter.
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Analysis
Kemper (KMPR) Cost of Revenue (2009 - 2019) Analysis & Trends
Over the trailing twelve months to Mar 31, 2019, Kemper reported Cost of Revenue of $2.8 billion, up 55.5% year-over-year; for FY2018, it came in at $2.47 billion, up 34.2% from FY2017.
- Cost of Revenue has increased in each of the last four years, with a five-year compound annual growth rate of 12.7% (FY2013 to FY2018).
- Going back by year, Cost of Revenue was $1.84 billion in FY2017 (+3.2%), $1.78 billion in FY2016 (+21.3%), $1.47 billion in FY2015 (+16.3%) and $1.26 billion in FY2014 (-7.0%).
- The five-year range for quarterly Cost of Revenue is $285.8 million (Q4 2014) to $772.8 million (Q4 2018).
- Year-over-year, Cost of Revenue has increased for four consecutive quarters, with growth averaging 27.4% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q1 2019 (growth of 75.2%), and the weakest in Q3 2014 (a decline of 11.2%).
- Business Quant data shows KMPR's Cost of Revenue at $772.8 million (Q4 2018), $757.3 million (Q3 2018) and $499.5 million (Q2 2018) in the three quarters before Q1 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 45.95 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 6.69 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 14.57 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | 5.92 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | 11.34 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | - |
| 10 | Kemper | 1.51 Bn | 206.13 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 765.40 Mn |
| Dec 31, 2018 | 772.80 Mn |
| Sep 30, 2018 | 757.30 Mn |
| Jun 30, 2018 | 499.50 Mn |
| Mar 31, 2018 | 436.90 Mn |
| Dec 31, 2017 | 472.50 Mn |
| Sep 30, 2017 | 440.10 Mn |
| Jun 30, 2017 | 447.40 Mn |
| Mar 31, 2017 | 477.40 Mn |
| Dec 31, 2016 | 418.30 Mn |
| Sep 30, 2016 | 490.20 Mn |
| Jun 30, 2016 | 436.10 Mn |
| Mar 31, 2016 | 436.20 Mn |
| Dec 31, 2015 | 416.00 Mn |
| Sep 30, 2015 | 378.80 Mn |
| Jun 30, 2015 | 375.10 Mn |
| Mar 31, 2015 | 297.70 Mn |
| Dec 31, 2014 | 285.80 Mn |
| Sep 30, 2014 | 300.50 Mn |
| Jun 30, 2014 | 347.50 Mn |
API Access
Kemper Cost of Revenue 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=cost-of-revenue&ticker=KMPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "KMPR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=KMPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();