Transact Technologies (TACT) Total Non-Current Liabilities (2010 - 2026)
Transact Technologies (TACT) posted Total Non-Current Liabilities of $3.05 million for Q2 2026, up 704.7% from $379,000 a year earlier but down 5.5% from the prior quarter.
Transact Technologies (TACT) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Transact Technologies' Total Non-Current Liabilities came in at $605,000, up 17.0% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -35.2% (FY2020 to FY2025).
- In prior years, Transact Technologies' Total Non-Current Liabilities was $517,000 in FY2024 (-55.0%), $1.15 million in FY2023 (-43.8%), $2.04 million in FY2022 (-5.1%) and $2.15 million in FY2021 (-59.5%).
- Quarterly Total Non-Current Liabilities has run from a low of $379,000 in Q2 2025 to a high of $3.23 million in Q1 2026 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 130.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2026, with growth of 704.7%; the weakest was Q2 2025, with a decline of 66.0%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $3.23 million (Q1 2026), $605,000 (Q4 2025) and $379,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.57 Bn | 23.82 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 23.54 Bn | 20.31 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | 2.94 Bn |
| 5 | Toast | 18.20 Bn | 10.87 Bn | 516.00 Mn | 1.10 Bn |
| 6 | Trimble | 13.96 Bn | 13.03 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Manhattan Associates | 13.22 Bn | 12.21 Bn | 168.33 Mn | 528.94 Mn |
| 8 | Costar | 12.85 Bn | 6.80 Bn | 728.00 Mn | 2.16 Bn |
| 9 | Bentley Systems | 11.44 Bn | 10.90 Bn | 336.74 Mn | 2.26 Bn |
| 10 | Transact Technologies | 46.81 Mn | -31.89 Mn | 7.00 Mn | 3.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.05 Mn |
| Mar 31, 2026 | 3.23 Mn |
| Dec 31, 2025 | 605,000.00 |
| Sep 30, 2025 | 379,000.00 |
| Jun 30, 2025 | 379,000.00 |
| Mar 31, 2025 | 471,000.00 |
| Dec 31, 2024 | 517,000.00 |
| Sep 30, 2024 | 897,000.00 |
| Jun 30, 2024 | 1.11 Mn |
| Mar 31, 2024 | 879,000.00 |
| Dec 31, 2023 | 1.15 Mn |
| Sep 30, 2023 | 1.39 Mn |
| Jun 30, 2023 | 1.59 Mn |
| Mar 31, 2023 | 1.82 Mn |
| Dec 31, 2022 | 2.04 Mn |
| Sep 30, 2022 | 2.27 Mn |
| Jun 30, 2022 | 2.53 Mn |
| Mar 31, 2022 | 1.98 Mn |
| Dec 31, 2021 | 2.15 Mn |
| Sep 30, 2021 | 2.30 Mn |
Transact Technologies Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=TACT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=TACT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();