Transact Technologies (TACT) Operating Expenses (2010 - 2026)
Transact Technologies (TACT) posted Operating Expenses of $7.06 million for Q2 2026, up 2.1% from $6.91 million a year earlier and up 8.9% from the prior quarter.
Transact Technologies (TACT) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Transact Technologies was $26.68 million, up 7.1% year-over-year; for FY2025, it came in at $26.43 million, up 5.3% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- In prior years, Transact Technologies' Operating Expenses was $25.11 million in FY2024 (-23.2%), $32.69 million in FY2023 (+1.9%), $32.09 million in FY2022 (+29.6%) and $24.76 million in FY2021 (+17.3%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q3 2023.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with an average decline of 1.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 39.5%; the weakest was Q2 2024, with a decline of 32.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $6.48 million (Q1 2026), $6.6 million (Q4 2025) and $6.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 51.57 Bn | 23.82 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 23.54 Bn | 20.31 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | 323.96 Mn |
| 5 | Toast | 18.20 Bn | 10.87 Bn | 516.00 Mn | 364.00 Mn |
| 6 | Trimble | 13.96 Bn | 13.03 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Manhattan Associates | 13.22 Bn | 12.21 Bn | 168.33 Mn | 231.56 Mn |
| 8 | Costar | 12.85 Bn | 6.80 Bn | 728.00 Mn | 652.00 Mn |
| 9 | Bentley Systems | 11.44 Bn | 10.90 Bn | 336.74 Mn | 248.13 Mn |
| 10 | Transact Technologies | 46.81 Mn | -31.89 Mn | 7.00 Mn | 7.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.06 Mn |
| Mar 31, 2026 | 6.48 Mn |
| Dec 31, 2025 | 6.60 Mn |
| Sep 30, 2025 | 6.54 Mn |
| Jun 30, 2025 | 6.91 Mn |
| Mar 31, 2025 | 6.37 Mn |
| Dec 31, 2024 | 5.57 Mn |
| Sep 30, 2024 | 6.06 Mn |
| Jun 30, 2024 | 6.55 Mn |
| Mar 31, 2024 | 6.93 Mn |
| Dec 31, 2023 | 6.89 Mn |
| Sep 30, 2023 | 7.73 Mn |
| Jun 30, 2023 | 9.63 Mn |
| Mar 31, 2023 | 8.44 Mn |
| Dec 31, 2022 | 7.73 Mn |
| Sep 30, 2022 | 7.81 Mn |
| Jun 30, 2022 | 8.39 Mn |
| Mar 31, 2022 | 8.17 Mn |
| Dec 31, 2021 | 6.90 Mn |
| Sep 30, 2021 | 5.92 Mn |
Transact Technologies Operating Expenses 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=operating-expenses&ticker=TACT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TACT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();