Techprecision (TPCS) EBITDA Margin (2010 - 2026)
Techprecision (TPCS) posted EBITDA Margin of 7.18% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 3.95 percentage points from 3.23% a year earlier and up 0.97 percentage points from the prior quarter.
Techprecision (TPCS) EBITDA Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Techprecision was 6.42%, up 1.86 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was 5.46%, up 3.58 percentage points from FY2025.
- Annual EBITDA Margin shows a five-year change of -3.05 percentage points (FY2021 to FY2026).
- In prior fiscal years, Techprecision's EBITDA Margin was 1.87% in FY2025 (+8.85 pp), -6.97% in FY2024 (-10.51 pp), 3.54% in FY2023 (+3.99 pp) and -0.45% in FY2022 (-8.96 pp).
- Quarterly EBITDA Margin has run from a low of -20.80% in fiscal Q4 2024 to a high of 18.10% in fiscal Q2 2026 over five years.
- On a year-over-year basis, EBITDA Margin increased in six of the last eight quarters, with an average year-over-year change of +7.03 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was fiscal Q4 2025, with a gain of 32.09 percentage points; the weakest was fiscal Q4 2024, with a drop of 18.36 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior fiscal quarters was 6.21% (Q4 2026), -9.28% (Q3 2026) and 18.10% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 23.91% |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 33.41% |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 19.50% |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 20.99% |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 27.98% |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 34.66% |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 20.29% |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 23.04% |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 28.95% |
| 10 | Techprecision | 54.14 Mn | 53.16 Mn | 1.40 Mn | 7.33% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.33% |
| Mar 31, 2026 | 6.38% |
| Dec 31, 2025 | -9.02% |
| Sep 30, 2025 | 18.20% |
| Jun 30, 2025 | 3.62% |
| Mar 31, 2025 | 11.67% |
| Dec 31, 2024 | 0.46% |
| Sep 30, 2024 | 2.57% |
| Jun 30, 2024 | -7.89% |
| Mar 31, 2024 | -20.20% |
| Dec 31, 2023 | -4.54% |
| Sep 30, 2023 | -0.13% |
| Jun 30, 2023 | -0.02% |
| Mar 31, 2023 | -2.18% |
| Dec 31, 2022 | 10.06% |
| Sep 30, 2022 | 5.36% |
| Jun 30, 2022 | 0.58% |
| Mar 31, 2022 | 2.95% |
| Dec 31, 2021 | -10.24% |
| Sep 30, 2021 | 2.07% |
Techprecision EBITDA 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=ebitda-margin&ticker=TPCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=TPCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();