Techprecision (TPCS) Total Current Liabilities (2011 - 2026)
Techprecision (TPCS) recorded Total Current Liabilities of $17.37 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 6.0% from $16.39 million a year earlier but down 4.4% from the prior quarter.
Powered by 
Analysis
Techprecision (TPCS) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Techprecision reported Total Current Liabilities of $18.17 million, up 7.4% from FY2025.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 30.9% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $16.92 million in FY2025 (-4.7%), $17.75 million in FY2024 (+96.8%), $9.02 million in FY2023 (-32.2%) and $13.31 million in FY2022 (+182.1%).
- Quarterly Total Current Liabilities has ranged from $8.64 million in fiscal Q3 2023 to $18.17 million in fiscal Q1 2025 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for four consecutive quarters, with growth averaging 2.8% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 280.3% in fiscal Q2 2022, against a decline of 32.2% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $18.17 million (Q4 2026), $18.05 million (Q3 2026) and $17.44 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Techprecision | 52.72 Mn | 51.74 Mn | 1.40 Mn | 17.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.37 Mn |
| Mar 31, 2026 | 18.17 Mn |
| Dec 31, 2025 | 18.05 Mn |
| Sep 30, 2025 | 17.44 Mn |
| Jun 30, 2025 | 16.39 Mn |
| Mar 31, 2025 | 16.92 Mn |
| Dec 31, 2024 | 15.88 Mn |
| Sep 30, 2024 | 17.41 Mn |
| Jun 30, 2024 | 18.17 Mn |
| Mar 31, 2024 | 17.75 Mn |
| Dec 31, 2023 | 16.64 Mn |
| Sep 30, 2023 | 15.25 Mn |
| Jun 30, 2023 | 9.73 Mn |
| Mar 31, 2023 | 9.02 Mn |
| Dec 31, 2022 | 8.64 Mn |
| Sep 30, 2022 | 11.69 Mn |
| Jun 30, 2022 | 12.87 Mn |
| Mar 31, 2022 | 13.31 Mn |
| Dec 31, 2021 | 12.32 Mn |
| Sep 30, 2021 | 10.53 Mn |
API Access
Techprecision Total Current Liabilities 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-current-liabilities&ticker=TPCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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-current-liabilities&ticker=TPCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();