Techprecision (TPCS) Assets (2011 - 2026)
Techprecision (TPCS) recorded Assets of $31.24 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 2.8% from $32.14 million a year earlier and down 3.2% from the prior quarter.
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Analysis
Techprecision (TPCS) Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Techprecision reported Assets of $32.27 million, down 3.7% from FY2025.
- Annual Assets has declined for four straight fiscal years, though with a five-year compound annual growth rate of 15.1% (FY2021 to FY2026).
- Across earlier fiscal years, Assets came in at $33.53 million in FY2025 (-3.5%), $34.75 million in FY2024 (-4.0%), $36.21 million in FY2023 (-4.3%) and $37.85 million in FY2022 (+136.5%).
- The fiscal Q1 2027 figure is the lowest quarterly Assets since fiscal Q1 2022.
- On a year-over-year basis, Assets rose in 1 of the last eight quarters, with an average decline of 4.6%.
- Peak year-over-year performance for Assets in the last five years was growth of 143.0% in fiscal Q1 2023, against a decline of 10.1% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $32.27 million (Q4 2026), $32.8 million (Q3 2026) and $33.84 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 102.61 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 44.81 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 107.61 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 56.18 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 30.88 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 15.90 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 42.21 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 34.92 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 16.49 Bn |
| 10 | Techprecision | 52.72 Mn | 51.74 Mn | 1.40 Mn | 31.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.24 Mn |
| Mar 31, 2026 | 32.27 Mn |
| Dec 31, 2025 | 32.80 Mn |
| Sep 30, 2025 | 33.84 Mn |
| Jun 30, 2025 | 32.14 Mn |
| Mar 31, 2025 | 33.53 Mn |
| Dec 31, 2024 | 32.16 Mn |
| Sep 30, 2024 | 35.01 Mn |
| Jun 30, 2024 | 35.74 Mn |
| Mar 31, 2024 | 34.75 Mn |
| Dec 31, 2023 | 34.75 Mn |
| Sep 30, 2023 | 37.98 Mn |
| Jun 30, 2023 | 37.73 Mn |
| Mar 31, 2023 | 36.21 Mn |
| Dec 31, 2022 | 37.41 Mn |
| Sep 30, 2022 | 36.80 Mn |
| Jun 30, 2022 | 37.65 Mn |
| Mar 31, 2022 | 37.85 Mn |
| Dec 31, 2021 | 37.39 Mn |
| Sep 30, 2021 | 36.69 Mn |
API Access
Techprecision Assets 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=assets&ticker=TPCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=TPCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();