Techprecision (TPCS) Return on Equity [ROE] (2011 - 2026)
Techprecision (TPCS) posted Return on Equity [ROE] of -15.96% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 6.30 percentage points from -22.26% a year earlier and up 5.30 percentage points from the prior quarter.
Techprecision (TPCS) Return on Equity [ROE] (2011 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Techprecision's Return on Equity [ROE] came in at -20.28%, up 12.95 percentage points from FY2025.
- Annual Return on Equity [ROE] shows a five-year change of -23.58 percentage points (FY2021 to FY2026).
- In prior fiscal years, Techprecision's Return on Equity [ROE] was -33.22% in FY2025 (+29.66 pp), -62.88% in FY2024 (-56.21 pp), -6.67% in FY2023 (-3.89 pp) and -2.78% in FY2022 (-6.08 pp).
- Quarterly Return on Equity [ROE] has run from a low of -101.64% in fiscal Q1 2025 to a high of 9.40% in fiscal Q2 2022 over five years.
- On a year-over-year basis, Return on Equity [ROE] has increased in each of the last six quarters, with an average year-over-year change of +18.80 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Equity [ROE] in the past five years was fiscal Q2 2026, with a gain of 90.63 percentage points; the weakest was fiscal Q1 2025, with a drop of 94.51 percentage points.
- According to Business Quant data, Return on Equity [ROE] for the three prior fiscal quarters was -21.26% (Q4 2026), -13.29% (Q3 2026) and -5.32% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 56.98% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 34.94% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 17.59% |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 19.13% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 24.30% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 38.48% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 12.67% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 95.38% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 104.29% |
| 10 | Techprecision | 52.82 Mn | 51.84 Mn | 1.40 Mn | -15.96% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -15.96% |
| Mar 31, 2026 | -21.26% |
| Dec 31, 2025 | -13.29% |
| Sep 30, 2025 | -5.32% |
| Jun 30, 2025 | -22.26% |
| Mar 31, 2025 | -32.66% |
| Dec 31, 2024 | -93.98% |
| Sep 30, 2024 | -95.96% |
| Jun 30, 2024 | -101.64% |
| Mar 31, 2024 | -68.24% |
| Dec 31, 2023 | -22.31% |
| Sep 30, 2023 | -14.07% |
| Jun 30, 2023 | -7.13% |
| Mar 31, 2023 | -6.60% |
| Dec 31, 2022 | -3.69% |
| Sep 30, 2022 | -10.64% |
| Jun 30, 2022 | -14.78% |
| Mar 31, 2022 | -2.25% |
| Dec 31, 2021 | 2.83% |
| Sep 30, 2021 | 9.40% |
Techprecision Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=TPCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=TPCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();