Transact Technologies (TACT) Price to Earnings (2011 - 2024)
Transact Technologies' (TACT) Price to Earnings came in at 91.40 for Q1 2024, up 130.1% from 39.72 a year earlier and up 524.3% from the prior quarter.
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Analysis
Transact Technologies (TACT) Price to Earnings (2011 - 2024) Analysis & Trends
For FY2023, Transact Technologies' Price to Earnings stood at 14.64.
- In prior years, Transact Technologies' Price to Earnings was 158.82 in FY2019.
- The Q1 2024 figure stands as the highest quarterly Price to Earnings since Q4 2019.
- According to Business Quant data, Price to Earnings for the three prior quarters was 14.64 (Q4 2023), 12.61 (Q3 2023) and 19.01 (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 52.39 Bn | 24.64 Bn | 695.95 Mn |
| 3 | Samsara | 25.91 Bn | 22.68 Bn | 392.58 Mn |
| 4 | Ptc | 22.27 Bn | 21.09 Bn | 490.47 Mn |
| 5 | Toast | 18.98 Bn | 11.64 Bn | 516.00 Mn |
| 6 | Trimble | 14.86 Bn | 13.93 Bn | 674.90 Mn |
| 7 | Manhattan Associates | 14.15 Bn | 13.14 Bn | 168.33 Mn |
| 8 | Costar | 14.01 Bn | 7.96 Bn | 728.00 Mn |
| 9 | Bentley Systems | 12.38 Bn | 11.84 Bn | 336.74 Mn |
| 10 | Transact Technologies | 55.05 Mn | -23.66 Mn | 7.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 91.40 |
| Dec 31, 2023 | 14.64 |
| Sep 30, 2023 | 12.61 |
| Jun 30, 2023 | 19.01 |
| Mar 31, 2023 | 39.72 |
| Dec 31, 2019 | 158.82 |
| Sep 30, 2019 | 39.84 |
| Jun 30, 2019 | 18.82 |
| Mar 31, 2019 | 12.41 |
| Dec 31, 2018 | 12.28 |
| Sep 30, 2018 | 26.27 |
| Jun 30, 2018 | 28.02 |
| Mar 31, 2018 | 32.76 |
| Dec 31, 2017 | 30.86 |
| Sep 30, 2017 | 14.42 |
| Jun 30, 2017 | 15.37 |
| Mar 31, 2017 | 15.12 |
| Dec 31, 2016 | 13.38 |
| Sep 30, 2016 | 15.27 |
| Jun 30, 2016 | 16.65 |
API Access
Transact Technologies 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=TACT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=TACT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();