Techprecision (TPCS) Return on Sales [ROS] (2010 - 2026)
Techprecision (TPCS) posted Return on Sales [ROS] of -0.49% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 5.78 percentage points from -6.27% a year earlier and up 1.90 percentage points from the prior quarter.
Techprecision (TPCS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Techprecision was -1.95%, up 1.88 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at -3.37%, up 2.97 percentage points from FY2025.
- Annual Return on Sales [ROS] shows a five-year change of -7.37 percentage points (FY2021 to FY2026).
- In prior fiscal years, Techprecision's Return on Sales [ROS] was -6.34% in FY2025 (+8.32 pp), -14.66% in FY2024 (-11.15 pp), -3.52% in FY2023 (+3.49 pp) and -7.01% in FY2022 (-11.00 pp).
- Quarterly Return on Sales [ROS] has run from a low of -28.59% in fiscal Q4 2024 to a high of 10.37% in fiscal Q2 2026 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +6.79 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q4 2025, with a gain of 32.47 percentage points; the weakest was fiscal Q4 2024, with a drop of 18.81 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was -2.40% (Q4 2026), -19.06% (Q3 2026) and 10.37% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 26.67% |
| 10 | Techprecision | 52.82 Mn | 51.84 Mn | 1.40 Mn | -0.49% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.49% |
| Mar 31, 2026 | -2.40% |
| Dec 31, 2025 | -19.06% |
| Sep 30, 2025 | 10.37% |
| Jun 30, 2025 | -6.27% |
| Mar 31, 2025 | 3.87% |
| Dec 31, 2024 | -9.13% |
| Sep 30, 2024 | -5.45% |
| Jun 30, 2024 | -16.79% |
| Mar 31, 2024 | -28.59% |
| Dec 31, 2023 | -13.02% |
| Sep 30, 2023 | -7.49% |
| Jun 30, 2023 | -7.87% |
| Mar 31, 2023 | -9.78% |
| Dec 31, 2022 | 3.29% |
| Sep 30, 2022 | -1.03% |
| Jun 30, 2022 | -7.89% |
| Mar 31, 2022 | -3.61% |
| Dec 31, 2021 | -17.60% |
| Sep 30, 2021 | -5.06% |
Techprecision 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=TPCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TPCS", "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=TPCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();