Rollins (ROL) Pension (2009 - 2018)
Rollins' Pension came in at $39,000 for Q2 2018.
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Analysis
Rollins (ROL) Pension (2009 - 2018) Analysis & Trends
At the end of FY2016, Rollins' Pension was $2.88 million, down 70.4% from FY2015.
- Pension carries a five-year compound annual growth rate of -38.2% (FY2011 to FY2016).
- Going back by year, Pension was $9.74 million in FY2015 (-67.1%), $29.56 million in FY2014, $691,000 in FY2013 (-98.4%) and $43.27 million in FY2012 (+35.8%).
- The Q2 2018 figure represents the highest quarterly Pension in data going back to Q4 2009.
- The fastest year-over-year change in Pension over five years came in Q3 2013 (growth of 39.5%), and the weakest in Q1 2014 (a decline of 98.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - |
| 10 | Tetra Tech | 8.63 Bn | 7.74 Bn | 243.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 39,000.00 |
| Dec 31, 2016 | 2.88 Mn |
| Jun 30, 2016 | 9.46 Mn |
| Mar 31, 2016 | 9.60 Mn |
| Dec 31, 2015 | 9.74 Mn |
| Sep 30, 2015 | 24.54 Mn |
| Jun 30, 2015 | 26.05 Mn |
| Mar 31, 2015 | 26.05 Mn |
| Dec 31, 2014 | 29.56 Mn |
| Sep 30, 2014 | 493,000.00 |
| Jun 30, 2014 | 475,000.00 |
| Mar 31, 2014 | 458,000.00 |
| Dec 31, 2013 | 691,000.00 |
| Sep 30, 2013 | 41.51 Mn |
| Jun 30, 2013 | 42.26 Mn |
| Mar 31, 2013 | 43.02 Mn |
| Dec 31, 2012 | 43.27 Mn |
| Sep 30, 2012 | 29.77 Mn |
| Jun 30, 2012 | 29.79 Mn |
| Mar 31, 2012 | 29.85 Mn |
API Access
Rollins Pension 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=pension&ticker=ROL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "ticker": "ROL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=pension&ticker=ROL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();