Techprecision (TPCS) Total Debt (2011 - 2026)
Techprecision's Total Debt was $4.87 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 18.2% from $5.95 million a year earlier and down 29.3% from the prior quarter.
Techprecision (TPCS) Total Debt (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Debt at Techprecision came in at $6.88 million, down 6.4% from FY2025.
- Total Debt shows a five-year compound annual growth rate of 12.5% (FY2021 to FY2026).
- In earlier fiscal years, Total Debt was $7.36 million in FY2025 (-2.7%), $7.56 million in FY2024 (+26.7%), $5.97 million in FY2023 (-17.2%) and $7.21 million in FY2022 (+88.8%).
- The fiscal Q1 2027 figure marks the lowest quarterly Total Debt since fiscal Q1 2022.
- Compared with a year earlier, Total Debt has declined for three straight quarters, with an average decline of 6.8% over the last eight quarters.
- The best year-over-year quarter for Total Debt over five years was fiscal Q1 2023 (growth of 145.0%); the worst was fiscal Q1 2026 (a decline of 19.7%).
- Per Business Quant data, TPCS's Total Debt in the three fiscal quarters before Q1 2027 was $6.88 million (Q4 2026), $6.65 million (Q3 2026) and $7.2 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 45.15 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 18.81 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 23.21 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 20.61 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 8.52 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 2.94 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 13.11 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 12.55 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 9.69 Bn |
| 10 | Techprecision | 52.72 Mn | 51.74 Mn | 1.40 Mn | 4.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.87 Mn |
| Mar 31, 2026 | 6.88 Mn |
| Dec 31, 2025 | 6.65 Mn |
| Sep 30, 2025 | 7.20 Mn |
| Jun 30, 2025 | 5.95 Mn |
| Mar 31, 2025 | 7.36 Mn |
| Dec 31, 2024 | 7.30 Mn |
| Sep 30, 2024 | 7.06 Mn |
| Jun 30, 2024 | 7.41 Mn |
| Mar 31, 2024 | 7.56 Mn |
| Dec 31, 2023 | 7.43 Mn |
| Sep 30, 2023 | 6.96 Mn |
| Jun 30, 2023 | 7.47 Mn |
| Mar 31, 2023 | 5.97 Mn |
| Dec 31, 2022 | 6.93 Mn |
| Sep 30, 2022 | 5.89 Mn |
| Jun 30, 2022 | 6.07 Mn |
| Mar 31, 2022 | 7.21 Mn |
| Dec 31, 2021 | 8.09 Mn |
| Sep 30, 2021 | 7.12 Mn |
Techprecision Total Debt 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=total-debt&ticker=TPCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=TPCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();