Cintas (CTAS) Liabilities from Discontinued Operations (2014 - 2017)
Cintas' (CTAS) quarterly Liabilities from Discontinued Operations came in at $11.5 million in Q2 2017, up 15.05% year-over-year from $10.0 million in Q2 2016, and up 15.05% quarter-over-quarter from $10.0 million in Q2 2016.
Cintas (CTAS) Liabilities from Discontinued Operations (2014 - 2017) Analysis & Trends
Cintas has disclosed Liabilities from Discontinued Operations across 4 years of filings, most recently posting $11.5 million for Q2 2017.
- In Q2 2017, Liabilities from Discontinued Operations rose 15.05% year-over-year to $11.5 million; the TTM figure through May 2017 stood at $11.5 million (up 15.05% YoY), while the FY2017 annual figure was $11.5 million, up 15.05% from the prior year.
- Liabilities from Discontinued Operations came in at $11.5 million for Q2 2017 at Cintas, up from $10.0 million in the prior quarter.
- In the past five years, Liabilities from Discontinued Operations ranged from a high of $78.5 million in Q3 2015 to a low of $612000.0 in Q1 2015.
- Average Liabilities from Discontinued Operations over 4 years is $16.8 million, with a median of $10.0 million recorded in 2016.
- Year-over-year, Liabilities from Discontinued Operations surged 1314.49% in 2016 and increased 15.05% in 2017.
- Over 4 years, Liabilities from Discontinued Operations stood at $1.1 million in 2014, then jumped by 7343.74% to $78.5 million in 2015, then sank by 87.31% to $10.0 million in 2016, then advanced by 15.05% to $11.5 million in 2017.
- Per Business Quant data, the three most recent Liabilities from Discontinued Operations figures were $11.5 million in Q2 2017, $10.0 million in Q2 2016, and $78.5 million in Q3 2015.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cintas | 79.09 Bn | 78.80 Bn | 1.48 Bn |
| 2 | Iron Mountain | 34.02 Bn | 34.14 Bn | 1.07 Bn |
| 3 | APi | 16.16 Bn | 15.31 Bn | 703.00 Mn |
| 4 | Rollins | 15.61 Bn | 15.50 Bn | 569.95 Mn |
| 5 | Aramark | 14.88 Bn | 14.45 Bn | 430.34 Mn |
| 6 | FirstService | 5.90 Bn | 6.24 Bn | 480.66 Mn |
| 7 | Unifirst | 4.73 Bn | 4.56 Bn | 234.73 Mn |
| 8 | Geo | 4.20 Bn | 3.95 Bn | - |
| 9 | CoreCivic | 3.49 Bn | 3.38 Bn | - |
| 10 | Abm Industries | 2.92 Bn | 2.81 Bn | 286.10 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2017 | 11.46 Mn |
| May 31, 2016 | 9.96 Mn |
| Aug 31, 2015 | 78.46 Mn |
| May 31, 2015 | 704,000.00 |
| Feb 28, 2015 | 612,000.00 |
| Nov 30, 2014 | 1.05 Mn |
| Aug 31, 2014 | 15.17 Mn |
Cintas Liabilities from Discontinued Operations 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=liabilities-from-discontinued-operations&ticker=CTAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-from-discontinued-operations", "ticker": "CTAS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=liabilities-from-discontinued-operations&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();