Techprecision (TPCS) Enterprise Value (2010 - 2026)
Techprecision's Enterprise Value came in at $52.65 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 44.7% from $36.39 million a year earlier and up 77.0% from the prior quarter.
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Analysis
Techprecision (TPCS) Enterprise Value (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Techprecision reported Enterprise Value of $51.95 million, up 44.7% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $29.74 million, up 33.8% from FY2025.
- Enterprise Value carries a five-year compound annual growth rate of -3.4% (FY2021 to FY2026).
- Going back by fiscal year, Enterprise Value was $22.23 million in FY2025 (-29.5%), $31.55 million in FY2024 (-47.7%), $60.36 million in FY2023 (+6.0%) and $56.93 million in FY2022 (+61.1%).
- The five-year range for quarterly Enterprise Value is $22.23 million (fiscal Q4 2025) to $70.98 million (fiscal Q3 2023).
- Year-over-year, Enterprise Value has increased for five consecutive quarters, with growth averaging 13.1% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q2 2022 (growth of 97.0%), and the weakest in fiscal Q2 2025 (a decline of 52.5%).
- Business Quant data shows TPCS's Enterprise Value at $29.74 million (Q4 2026), $48.28 million (Q3 2026) and $52.8 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn |
| 10 | Techprecision | 52.72 Mn | 51.74 Mn | 1.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.65 Mn |
| Mar 31, 2026 | 29.74 Mn |
| Dec 31, 2025 | 48.28 Mn |
| Sep 30, 2025 | 52.80 Mn |
| Jun 30, 2025 | 36.39 Mn |
| Mar 31, 2025 | 22.23 Mn |
| Dec 31, 2024 | 34.90 Mn |
| Sep 30, 2024 | 30.04 Mn |
| Jun 30, 2024 | 31.11 Mn |
| Mar 31, 2024 | 31.55 Mn |
| Dec 31, 2023 | 44.99 Mn |
| Sep 30, 2023 | 63.30 Mn |
| Jun 30, 2023 | 63.38 Mn |
| Mar 31, 2023 | 60.36 Mn |
| Dec 31, 2022 | 70.98 Mn |
| Sep 30, 2022 | 53.84 Mn |
| Jun 30, 2022 | 51.57 Mn |
| Mar 31, 2022 | 56.93 Mn |
| Dec 31, 2021 | 69.04 Mn |
| Sep 30, 2021 | 67.57 Mn |
API Access
Techprecision Enterprise Value 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=enterprise-value&ticker=TPCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=TPCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();