Techprecision (TPCS) Return on Assets [ROA] (2011 - 2026)
Techprecision (TPCS) posted Return on Assets [ROA] of -3.84% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 1.91 percentage points from -5.75% a year earlier and up 1.27 percentage points from the prior quarter.
Techprecision (TPCS) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Techprecision's Return on Assets [ROA] came in at -5.06%, up 2.99 percentage points from FY2025.
- Annual Return on Assets [ROA] shows a five-year change of -7.15 percentage points (FY2021 to FY2026).
- In prior fiscal years, Techprecision's Return on Assets [ROA] was -8.05% in FY2025 (+11.80 pp), -19.85% in FY2024 (-17.16 pp), -2.69% in FY2023 (-1.39 pp) and -1.30% in FY2022 (-3.40 pp).
- Quarterly Return on Assets [ROA] has run from a low of -23.76% in fiscal Q3 2025 to a high of 5.05% in fiscal Q2 2022 over five years.
- On a year-over-year basis, Return on Assets [ROA] has increased in each of the last six quarters, with an average year-over-year change of +5.29 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was fiscal Q2 2026, with a gain of 21.35 percentage points; the weakest was fiscal Q1 2025, with a drop of 19.86 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior fiscal quarters was -5.11% (Q4 2026), -3.41% (Q3 2026) and -1.40% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 10.94% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 11.93% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 4.54% |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 6.89% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 11.86% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.82% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 6.12% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 8.56% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 19.50% |
| 10 | Techprecision | 52.82 Mn | 51.84 Mn | 1.40 Mn | -3.84% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.84% |
| Mar 31, 2026 | -5.11% |
| Dec 31, 2025 | -3.41% |
| Sep 30, 2025 | -1.40% |
| Jun 30, 2025 | -5.75% |
| Mar 31, 2025 | -8.37% |
| Dec 31, 2024 | -23.76% |
| Sep 30, 2024 | -22.75% |
| Jun 30, 2024 | -22.62% |
| Mar 31, 2024 | -20.26% |
| Dec 31, 2023 | -8.08% |
| Sep 30, 2023 | -5.13% |
| Jun 30, 2023 | -2.76% |
| Mar 31, 2023 | -2.70% |
| Dec 31, 2022 | -1.54% |
| Sep 30, 2022 | -4.33% |
| Jun 30, 2022 | -5.89% |
| Mar 31, 2022 | -0.93% |
| Dec 31, 2021 | 1.24% |
| Sep 30, 2021 | 5.05% |
Techprecision Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=TPCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=TPCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();