Cintas (CTAS) Short-term Investments (2010 - 2018)
Cintas' (CTAS) quarterly Short-term Investments came in at $33.7 million in Q1 2018, up 48.22% quarter-over-quarter from $22.7 million in Q4 2017.
Cintas (CTAS) Short-term Investments (2010 - 2018) Analysis & Trends
Cintas has disclosed Short-term Investments across 7 years of filings, most recently posting $33.7 million for Q1 2018.
- In Q1 2018, Short-term Investments changed N/A year-over-year to $33.7 million; the TTM figure through Feb 2018 stood at $33.7 million (changed N/A YoY), while the FY2017 annual figure was $181.1 million, changed N/A from the prior year.
- Short-term Investments came in at $33.7 million for Q1 2018 at Cintas, up from $22.7 million in the prior quarter.
- In the past five years, Short-term Investments ranged from a high of $181.1 million in Q2 2017 to a low of $4.8 million in Q1 2014.
- Average Short-term Investments over 3 years is $52.8 million, with a median of $22.7 million recorded in 2017.
- The largest YoY upside for Short-term Investments was 82.85% in 2014 against a maximum downside of 82.85% in 2014.
- Over 3 years, Short-term Investments stood at $4.8 million in 2014, then soared by 369.67% to $22.7 million in 2017, then soared by 48.22% to $33.7 million in 2018.
- Per Business Quant data, the three most recent Short-term Investments figures were $33.7 million in Q1 2018, $22.7 million in Q4 2017, and $21.6 million in Q3 2017.
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 |
|---|---|
| Feb 28, 2018 | 33.69 Mn |
| Nov 30, 2017 | 22.73 Mn |
| Aug 31, 2017 | 21.63 Mn |
| May 31, 2017 | 181.07 Mn |
| Feb 28, 2014 | 4.84 Mn |
| Nov 30, 2013 | 4.16 Mn |
| Aug 31, 2013 | 4.19 Mn |
| May 31, 2013 | 5.68 Mn |
| Feb 28, 2013 | 28.22 Mn |
| Nov 30, 2012 | 33.86 Mn |
| Aug 31, 2012 | 10.95 Mn |
| Feb 29, 2012 | 134.63 Mn |
| Nov 30, 2011 | 129.83 Mn |
| Aug 31, 2011 | 126.73 Mn |
| May 31, 2011 | 87.22 Mn |
| Feb 28, 2011 | 31.97 Mn |
| Nov 30, 2010 | 23.62 Mn |
| Aug 31, 2010 | 78.80 Mn |
| May 31, 2010 | 154.81 Mn |
Cintas Short-term Investments 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=short-term-investments&ticker=CTAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-investments", "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=short-term-investments&ticker=CTAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();