Transact Technologies (TACT) EV to EBITDA (2011 - 2026)
Transact Technologies' (TACT) EV to EBITDA was 205.57 for Q2 2026, down 61.5% from the prior quarter.
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Analysis
Transact Technologies (TACT) EV to EBITDA (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Transact Technologies' EV to EBITDA came in at -92.50; for FY2023, it came in at 7.95.
- By year, EV to EBITDA came in at 45.36 in FY2019 (+468.1%).
- The Q2 2026 figure ranks as the lowest quarterly EV to EBITDA since Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 51.52 Bn | 23.77 Bn | 695.95 Mn |
| 3 | Samsara | 24.29 Bn | 21.06 Bn | 392.58 Mn |
| 4 | Ptc | 22.14 Bn | 20.96 Bn | 490.47 Mn |
| 5 | Toast | 18.74 Bn | 11.40 Bn | 516.00 Mn |
| 6 | Trimble | 14.10 Bn | 13.16 Bn | 674.90 Mn |
| 7 | Manhattan Associates | 13.42 Bn | 12.41 Bn | 168.33 Mn |
| 8 | Costar | 13.13 Bn | 7.08 Bn | 728.00 Mn |
| 9 | Bentley Systems | 11.69 Bn | 11.15 Bn | 336.74 Mn |
| 10 | Transact Technologies | 48.25 Mn | -30.45 Mn | 7.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 205.57 |
| Mar 31, 2026 | 534.57 |
| Jun 30, 2024 | 79.76 |
| Mar 31, 2024 | 19.65 |
| Dec 31, 2023 | 7.95 |
| Sep 30, 2023 | 6.40 |
| Jun 30, 2023 | 10.68 |
| Mar 31, 2023 | 17.20 |
| Dec 31, 2019 | 45.36 |
| Sep 30, 2019 | 25.76 |
| Jun 30, 2019 | 12.52 |
| Mar 31, 2019 | 8.59 |
| Dec 31, 2018 | 7.98 |
| Sep 30, 2018 | 12.61 |
| Jun 30, 2018 | 11.76 |
| Mar 31, 2018 | 12.69 |
| Dec 31, 2017 | 11.85 |
| Sep 30, 2017 | 8.06 |
| Jun 30, 2017 | 8.00 |
| Mar 31, 2017 | 8.16 |
API Access
Transact Technologies EV to EBITDA 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-ebitda&ticker=TACT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=TACT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();