Techprecision (TPCS) Short term Debt (2011 - 2026)
Techprecision's Short term Debt was $4.87 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 14.9% from $5.71 million a year earlier and down 29.3% from the prior quarter.
Techprecision (TPCS) Short term Debt (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Short term Debt at Techprecision came in at $6.88 million, down 6.4% from FY2025.
- Short term Debt shows a five-year compound annual growth rate of 22.7% (FY2021 to FY2026).
- In earlier fiscal years, Short term Debt was $7.35 million in FY2025 (-2.7%), $7.56 million in FY2024 (+520.5%), $1.22 million in FY2023 (-70.2%) and $4.09 million in FY2022 (+65.4%).
- The fiscal Q1 2027 figure marks the lowest quarterly Short term Debt since fiscal Q1 2024.
- Compared with a year earlier, Short term 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 Short term Debt over five years was fiscal Q4 2024 (growth of 520.5%); the worst was fiscal Q4 2023 (a decline of 70.2%).
- Per Business Quant data, TPCS's Short term 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) |
|---|---|---|---|---|
| 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
| 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 | 5.71 Mn |
| Mar 31, 2025 | 7.35 Mn |
| Dec 31, 2024 | 7.28 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 | 2.87 Mn |
| Mar 31, 2023 | 1.22 Mn |
| Dec 31, 2022 | 2.07 Mn |
| Sep 30, 2022 | 3.03 Mn |
| Jun 30, 2022 | 3.08 Mn |
| Mar 31, 2022 | 4.09 Mn |
| Dec 31, 2021 | 4.88 Mn |
| Sep 30, 2021 | 3.79 Mn |
Techprecision Short term 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=short-term-debt&ticker=TPCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-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=short-term-debt&ticker=TPCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();