Techprecision (TPCS) EV to EBITDA (2011 - 2026)
Techprecision's (TPCS) EV to EBITDA stood at 24.58 in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 2.9% from 23.89 a year earlier and up 42.7% from the prior quarter.
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Techprecision (TPCS) EV to EBITDA (2011 - 2026) Analysis & Trends
On a TTM basis, Techprecision's EV to EBITDA came in at 24.25 as of Jun 30, 2026, up 2.9% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at 17.22, down 50.6% from FY2025.
- Across earlier fiscal years, EV to EBITDA came in at 34.85 in FY2025 and 54.27 in FY2023.
- The fiscal Q1 2027 figure is the highest quarterly EV to EBITDA since fiscal Q4 2025.
- Per Business Quant, the preceding three fiscal quarters came in at 17.22 (Q4 2026), 21.04 (Q3 2026) and 17.84 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn |
| 10 | Techprecision | 54.14 Mn | 53.16 Mn | 1.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.96 |
| Mar 31, 2026 | 16.55 |
| Dec 31, 2025 | 20.23 |
| Sep 30, 2025 | 17.24 |
| Jun 30, 2025 | 22.21 |
| Mar 31, 2025 | 30.01 |
| Sep 30, 2023 | 95.55 |
| Jun 30, 2023 | 56.08 |
| Mar 31, 2023 | 51.50 |
| Dec 31, 2022 | 45.55 |
| Sep 30, 2022 | 995.24 |
| Dec 31, 2021 | 327.28 |
| Sep 30, 2021 | 63.57 |
| Jun 30, 2021 | 21.89 |
| Mar 31, 2021 | 25.63 |
| Dec 31, 2020 | 31.17 |
| Sep 30, 2020 | 38.07 |
| Jun 30, 2020 | 215.99 |
| Mar 31, 2020 | 57.17 |
| Dec 31, 2019 | 37.67 |
API Access
Techprecision EV to EBITDA 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=ev-to-ebitda&ticker=TPCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=TPCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();