Team (TISI) Price to Earnings (2011 - 2023)
Team's (TISI) Price to Earnings came in at 0.32 for Q3 2023, down 25.8% from the prior quarter.
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Analysis
Team (TISI) Price to Earnings (2011 - 2023) Analysis & Trends
For FY2022, Team's Price to Earnings stood at 0.33.
- Quarterly Price to Earnings has run from a low of 0.31 in Q1 2023 to a high of 0.43 in Q2 2023 over five years.
- According to Business Quant data, Price to Earnings for the three prior quarters was 0.43 (Q2 2023), 0.31 (Q1 2023) and 0.33 (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 152.43 Bn | 111.71 Bn | 6.13 Bn |
| 2 | Cintas | 89.87 Bn | 88.95 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.78 Bn | 31.97 Bn | 1.07 Bn |
| 4 | APi | 17.10 Bn | 14.14 Bn | 703.00 Mn |
| 5 | Rollins | 16.67 Bn | 16.22 Bn | 582.90 Mn |
| 6 | Gartner | 15.33 Bn | 9.02 Bn | 1.19 Bn |
| 7 | UL Solutions | 14.83 Bn | 13.59 Bn | 417.00 Mn |
| 8 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn |
| 9 | Rentokil Initial | 11.49 Bn | 5.00 Bn | - |
| 10 | Team | 110.76 Mn | 38.98 Mn | 54.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 0.32 |
| Jun 30, 2023 | 0.43 |
| Mar 31, 2023 | 0.31 |
| Dec 31, 2022 | 0.33 |
| Sep 30, 2016 | 117.76 |
| Jun 30, 2016 | 52.62 |
| Mar 31, 2016 | 33.41 |
| Nov 30, 2015 | 29.16 |
| Aug 31, 2015 | 26.32 |
| May 31, 2015 | 20.77 |
| Feb 28, 2015 | 21.79 |
| Nov 30, 2014 | 23.81 |
| Aug 31, 2014 | 25.36 |
| May 31, 2014 | 28.76 |
| Feb 28, 2014 | 30.07 |
| Nov 30, 2013 | 27.84 |
| Aug 31, 2013 | 27.37 |
| May 31, 2013 | 22.90 |
| Feb 28, 2013 | 26.00 |
| Nov 30, 2012 | 19.66 |
API Access
Team Price to Earnings 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=price-to-earnings&ticker=TISI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "TISI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=TISI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();