Grand Canyon Education (LOPE) Cost of Revenue (2010 - 2018)
Grand Canyon Education's Cost of Revenue was $102.24 million in Q2 2018, up 7.6% from $95.03 million a year earlier but down 7.9% from the prior quarter.
Grand Canyon Education (LOPE) Cost of Revenue (2010 - 2018) Analysis & Trends
On a trailing twelve-month basis, Grand Canyon Education's Cost of Revenue was $426.5 million through Jun 30, 2018, up 9.0% year-over-year; for FY2017, it was $410.84 million, up 10.1% from FY2016.
- Cost of Revenue has now increased for three consecutive years, with a five-year compound annual growth rate of 13.3% (FY2012 to FY2017).
- In earlier years, Cost of Revenue was $373.1 million in FY2016 (+13.2%), $329.65 million in FY2015 (+319.7%), $78.55 million in FY2014 (-69.1%) and $254.42 million in FY2013 (+15.4%).
- Quarterly Cost of Revenue has moved between $64.7 million (Q3 2013) and $111.03 million (Q1 2018) over five years.
- Compared with a year earlier, Cost of Revenue has increased for 28 straight quarters, with growth averaging 9.7% over the last eight quarters.
- The year-over-year growth in Cost of Revenue has ranged between 6.7% (Q4 2017) and 20.3% (Q1 2016) over the last five years.
- Per Business Quant data, LOPE's Cost of Revenue in the three quarters before Q2 2018 was $111.03 million (Q1 2018), $108.93 million (Q4 2017) and $104.3 million (Q3 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 12.58 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.42 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 958.61 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 1.55 Bn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.63 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 508.63 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 399.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 486.91 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Grand Canyon Education | 4.09 Bn | 2.98 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 102.24 Mn |
| Mar 31, 2018 | 111.03 Mn |
| Dec 31, 2017 | 108.93 Mn |
| Sep 30, 2017 | 104.30 Mn |
| Jun 30, 2017 | 95.03 Mn |
| Mar 31, 2017 | 102.57 Mn |
| Dec 31, 2016 | 102.10 Mn |
| Sep 30, 2016 | 91.75 Mn |
| Jun 30, 2016 | 84.60 Mn |
| Mar 31, 2016 | 94.65 Mn |
| Dec 31, 2015 | 92.43 Mn |
| Sep 30, 2015 | 83.18 Mn |
| Jun 30, 2015 | 75.36 Mn |
| Mar 31, 2015 | 78.69 Mn |
| Dec 30, 2014 | 78.55 Mn |
| Sep 30, 2014 | 71.71 Mn |
| Jun 30, 2014 | 67.85 Mn |
| Mar 31, 2014 | 70.68 Mn |
| Dec 31, 2013 | 67.97 Mn |
| Sep 30, 2013 | 64.70 Mn |
Grand Canyon Education 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=LOPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "LOPE", "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=LOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();