Transact Technologies (TACT) Return on Sales [ROS] (2010 - 2026)
Transact Technologies (TACT) posted Return on Sales [ROS] of -0.39% for Q2 2026, up 1.48 percentage points from -1.87% a year earlier but down 5.74 percentage points from the prior quarter.
Transact Technologies (TACT) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Transact Technologies was -0.80%, up 3.70 percentage points year-over-year; for FY2025, it came in at -2.75%, up 5.61 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +23.96 percentage points (FY2020 to FY2025).
- In prior years, Transact Technologies' Return on Sales [ROS] was -8.36% in FY2024 (-16.21 pp), 7.86% in FY2023 (+21.06 pp), -13.20% in FY2022 (+10.60 pp) and -23.81% in FY2021 (+2.91 pp).
- Quarterly Return on Sales [ROS] has run from a low of -57.76% in Q1 2022 to a high of 17.12% in Q1 2023 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last six quarters, with an average year-over-year change of +0.99 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2023, with a gain of 74.88 percentage points; the weakest was Q1 2024, with a drop of 29.30 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 5.35% (Q1 2026), -10.09% (Q4 2025) and 0.11% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 52.25 Bn | 24.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 25.64 Bn | 22.41 Bn | 392.58 Mn | 0.96% |
| 4 | Ptc | 21.48 Bn | 20.29 Bn | 490.47 Mn | 27.75% |
| 5 | Toast | 19.27 Bn | 11.94 Bn | 516.00 Mn | 7.97% |
| 6 | Trimble | 14.93 Bn | 13.99 Bn | 674.90 Mn | 13.58% |
| 7 | Costar | 14.36 Bn | 8.33 Bn | 728.00 Mn | 8.22% |
| 8 | Manhattan Associates | 14.12 Bn | 13.11 Bn | 168.33 Mn | 22.24% |
| 9 | Duolingo | 13.22 Bn | 8.40 Bn | 216.74 Mn | 11.37% |
| 10 | Transact Technologies | 54.72 Mn | -23.98 Mn | 7.00 Mn | -0.39% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.39% |
| Mar 31, 2026 | 5.35% |
| Dec 31, 2025 | -10.09% |
| Sep 30, 2025 | 0.11% |
| Jun 30, 2025 | -1.87% |
| Mar 31, 2025 | -0.11% |
| Dec 31, 2024 | -10.26% |
| Sep 30, 2024 | -7.70% |
| Jun 30, 2024 | -3.78% |
| Mar 31, 2024 | -12.17% |
| Dec 31, 2023 | -3.94% |
| Sep 30, 2023 | 6.93% |
| Jun 30, 2023 | 6.15% |
| Mar 31, 2023 | 17.12% |
| Dec 31, 2022 | 2.75% |
| Sep 30, 2022 | 2.17% |
| Jun 30, 2022 | -23.40% |
| Mar 31, 2022 | -57.76% |
| Dec 31, 2021 | -23.35% |
| Sep 30, 2021 | -15.19% |
Transact Technologies Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=TACT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=TACT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();