Transact Technologies (TACT) EV to EBIT (2011 - 2024)
Transact Technologies' EV to EBIT was 70.51 in Q1 2024, up 123.2% from 31.59 a year earlier and up 603.5% from the prior quarter.
Transact Technologies (TACT) EV to EBIT (2011 - 2024) Analysis & Trends
On a trailing twelve-month basis, Transact Technologies' EV to EBIT was 11.93 through Mar 31, 2024, down 43.6% year-over-year; for FY2023, it came in at 10.02.
- In earlier years, EV to EBIT was 226.66 in FY2019.
- The Q1 2024 figure marks the highest quarterly EV to EBIT since Q4 2019.
- Per Business Quant data, TACT's EV to EBIT in the three quarters before Q1 2024 was 10.02 (Q4 2023), 7.78 (Q3 2023) and 13.26 (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 51.55 Bn | 23.79 Bn | 695.95 Mn |
| 3 | Samsara | 24.79 Bn | 21.56 Bn | 392.58 Mn |
| 4 | Ptc | 22.17 Bn | 20.99 Bn | 490.47 Mn |
| 5 | Toast | 18.88 Bn | 11.55 Bn | 516.00 Mn |
| 6 | Trimble | 14.47 Bn | 13.54 Bn | 674.90 Mn |
| 7 | Manhattan Associates | 13.68 Bn | 12.67 Bn | 168.33 Mn |
| 8 | Costar | 13.35 Bn | 7.30 Bn | 728.00 Mn |
| 9 | Bentley Systems | 11.88 Bn | 11.34 Bn | 336.74 Mn |
| 10 | Transact Technologies | 49.28 Mn | -29.42 Mn | 7.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 70.51 |
| Dec 31, 2023 | 10.02 |
| Sep 30, 2023 | 7.78 |
| Jun 30, 2023 | 13.26 |
| Mar 31, 2023 | 31.59 |
| Dec 31, 2019 | 226.66 |
| Sep 30, 2019 | 36.24 |
| Jun 30, 2019 | 14.86 |
| Mar 31, 2019 | 9.91 |
| Dec 31, 2018 | 9.16 |
| Sep 30, 2018 | 14.28 |
| Jun 30, 2018 | 13.47 |
| Mar 31, 2018 | 14.70 |
| Dec 31, 2017 | 13.73 |
| Sep 30, 2017 | 9.44 |
| Jun 30, 2017 | 9.75 |
| Mar 31, 2017 | 10.05 |
| Dec 31, 2016 | 8.56 |
| Sep 30, 2016 | 13.53 |
| Jun 30, 2016 | 13.58 |
Transact Technologies EV to EBIT 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=ev-to-ebit&ticker=TACT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "ticker": "TACT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebit&ticker=TACT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();