Table Trac (TBTC) Return on Sales [ROS] (2010 - 2026)
Table Trac's Return on Sales [ROS] came in at 28.12% for Q2 2026, up 25.71 percentage points from 2.41% a year earlier but down 1.52 percentage points from the prior quarter.
Table Trac (TBTC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Table Trac reported Return on Sales [ROS] of 22.19%, up 6.97 percentage points year-over-year; for FY2025, it came in at 14.51%, down 0.87 percentage points from FY2024.
- Return on Sales [ROS] has declined in each of the last four years, though with a five-year change of +22.31 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 15.39% in FY2024 (-2.28 pp), 17.66% in FY2023 (-0.61 pp), 18.27% in FY2022 (-3.39 pp) and 21.66% in FY2021 (+29.45 pp).
- The five-year range for quarterly Return on Sales [ROS] is -11.24% (Q2 2022) to 47.85% (Q1 2022).
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +3.03 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 57.76 percentage points), and the weakest in Q1 2023 (a drop of 33.22 percentage points).
- Business Quant data shows TBTC's Return on Sales [ROS] at 29.65% (Q1 2026), 21.47% (Q4 2025) and -2.23% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 52.40 Bn | 24.64 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 26.19 Bn | 22.96 Bn | 392.58 Mn | 0.96% |
| 4 | Ptc | 22.24 Bn | 21.06 Bn | 490.47 Mn | 27.75% |
| 5 | Toast | 18.86 Bn | 11.53 Bn | 516.00 Mn | 7.97% |
| 6 | Trimble | 14.84 Bn | 13.90 Bn | 674.90 Mn | 13.58% |
| 7 | Manhattan Associates | 14.01 Bn | 13.00 Bn | 168.33 Mn | 22.24% |
| 8 | Costar | 13.84 Bn | 7.79 Bn | 728.00 Mn | 8.22% |
| 9 | Bentley Systems | 12.38 Bn | 11.84 Bn | 336.74 Mn | 21.57% |
| 10 | Table Trac | 24.38 Mn | -8.39 Mn | 2.96 Mn | 28.12% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.12% |
| Mar 31, 2026 | 29.65% |
| Dec 31, 2025 | 21.47% |
| Sep 30, 2025 | -2.23% |
| Jun 30, 2025 | 2.41% |
| Mar 31, 2025 | 26.66% |
| Dec 31, 2024 | 15.70% |
| Sep 30, 2024 | 10.54% |
| Jun 30, 2024 | 28.03% |
| Mar 31, 2024 | -0.62% |
| Dec 31, 2023 | 19.07% |
| Sep 30, 2023 | 6.27% |
| Jun 30, 2023 | 27.44% |
| Mar 31, 2023 | 14.63% |
| Dec 31, 2022 | 11.90% |
| Sep 30, 2022 | 14.87% |
| Jun 30, 2022 | -11.24% |
| Mar 31, 2022 | 47.85% |
| Dec 31, 2021 | 14.51% |
| Sep 30, 2021 | 19.91% |
Table Trac 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=TBTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TBTC", "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=TBTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();