Techprecision (TPCS) Cost of Revenue (2010 - 2026)
Techprecision's Cost of Revenue was $7.7 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 21.2% from $6.35 million a year earlier and up 10.3% from the prior quarter.
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Analysis
Techprecision (TPCS) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Techprecision's Cost of Revenue was $28.02 million through Jun 30, 2026, down 1.0% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $26.67 million, down 10.2% from FY2025.
- Cost of Revenue shows a five-year compound annual growth rate of 17.1% (FY2021 to FY2026).
- In earlier fiscal years, Cost of Revenue was $29.7 million in FY2025 (+8.1%), $27.47 million in FY2024 (+3.6%), $26.53 million in FY2023 (+40.3%) and $18.91 million in FY2022 (+55.8%).
- The fiscal Q1 2027 figure marks the highest quarterly Cost of Revenue since fiscal Q2 2025.
- Compared with a year earlier, Cost of Revenue was higher in five of the last eight quarters, with an average decline of 0.1%.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q1 2023 (growth of 142.6%); the worst was fiscal Q1 2026 (a decline of 18.0%).
- Per Business Quant data, TPCS's Cost of Revenue in the three fiscal quarters before Q1 2027 was $6.98 million (Q4 2026), $6.71 million (Q3 2026) and $6.63 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Techprecision | 53.33 Mn | 52.35 Mn | 1.40 Mn | 7.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.70 Mn |
| Mar 31, 2026 | 6.98 Mn |
| Dec 31, 2025 | 6.71 Mn |
| Sep 30, 2025 | 6.63 Mn |
| Jun 30, 2025 | 6.35 Mn |
| Mar 31, 2025 | 7.39 Mn |
| Dec 31, 2024 | 6.63 Mn |
| Sep 30, 2024 | 7.93 Mn |
| Jun 30, 2024 | 7.75 Mn |
| Mar 31, 2024 | 7.37 Mn |
| Dec 31, 2023 | 6.49 Mn |
| Sep 30, 2023 | 6.94 Mn |
| Jun 30, 2023 | 6.68 Mn |
| Mar 31, 2023 | 6.66 Mn |
| Dec 31, 2022 | 6.83 Mn |
| Sep 30, 2022 | 6.78 Mn |
| Jun 30, 2022 | 6.26 Mn |
| Mar 31, 2022 | 6.43 Mn |
| Dec 31, 2021 | 6.03 Mn |
| Sep 30, 2021 | 3.87 Mn |
API Access
Techprecision Cost of Revenue 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=cost-of-revenue&ticker=TPCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=TPCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();