Techprecision (TPCS) Total Non-Current Liabilities (2016 - 2026)
Techprecision (TPCS) posted Total Non-Current Liabilities of $20.07 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 1.2% from $19.83 million a year earlier but down 4.6% from the prior quarter.
Powered by 
Analysis
Techprecision (TPCS) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Techprecision's Total Non-Current Liabilities came in at $21.03 million, up 2.3% from FY2025.
- Annual Total Non-Current Liabilities shows a four-year compound annual growth rate of -1.4% (FY2022 to FY2026).
- In prior fiscal years, Techprecision's Total Non-Current Liabilities was $20.56 million in FY2025 (-7.2%), $22.16 million in FY2024 (+17.2%), $18.91 million in FY2023 (-15.1%) and $22.28 million in FY2022.
- Quarterly Total Non-Current Liabilities has run from a low of $17.54 million in fiscal Q3 2024 to a high of $22.39 million in fiscal Q1 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 1.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q4 2024, with growth of 17.2%; the weakest was fiscal Q4 2023, with a decline of 15.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $21.03 million (Q4 2026), $21.12 million (Q3 2026) and $20.69 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Techprecision | 52.72 Mn | 51.74 Mn | 1.40 Mn | 20.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.07 Mn |
| Mar 31, 2026 | 21.03 Mn |
| Dec 31, 2025 | 21.12 Mn |
| Sep 30, 2025 | 20.69 Mn |
| Jun 30, 2025 | 19.83 Mn |
| Mar 31, 2025 | 20.56 Mn |
| Dec 31, 2024 | 19.74 Mn |
| Sep 30, 2024 | 21.44 Mn |
| Jun 30, 2024 | 22.39 Mn |
| Mar 31, 2024 | 22.16 Mn |
| Dec 31, 2023 | 17.54 Mn |
| Sep 30, 2023 | 20.03 Mn |
| Jun 30, 2023 | 19.30 Mn |
| Mar 31, 2023 | 18.91 Mn |
| Dec 31, 2022 | 18.98 Mn |
| Sep 30, 2022 | 20.05 Mn |
| Jun 30, 2022 | 21.53 Mn |
| Mar 31, 2022 | 22.28 Mn |
| Mar 31, 2018 | 6.27 Mn |
| Dec 31, 2017 | 6.78 Mn |
API Access
Techprecision Total Non-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-non-current-liabilities&ticker=TPCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=TPCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();