Techprecision (TPCS) Operating Margin (2010 - 2026)
Techprecision's Operating Margin came in at -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) Operating Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Techprecision reported Operating Margin of -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.
- Operating Margin carries a five-year change of -7.37 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Operating Margin 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).
- The five-year range for quarterly Operating Margin is -28.59% (fiscal Q4 2024) to 10.37% (fiscal Q2 2026).
- Year-over-year, Operating Margin increased in six of the last eight quarters, with an average year-over-year change of +6.79 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in fiscal Q4 2025 (a gain of 32.47 percentage points), and the weakest in fiscal Q4 2024 (a drop of 18.81 percentage points).
- Business Quant data shows TPCS's Operating Margin at -2.40% (Q4 2026), -19.06% (Q3 2026) and 10.37% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 26.67% |
| 10 | Techprecision | 52.72 Mn | 51.74 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 Operating Margin 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=operating-margin&ticker=TPCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=TPCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();