Techprecision (TPCS) Accumulated Expenses (2011 - 2026)
Techprecision (TPCS) reported Accumulated Expenses of $4.02 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 9.1% from $3.69 million a year earlier and up 4.0% from the prior quarter.
Techprecision (TPCS) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Techprecision posted Accumulated Expenses of $3.87 million, up 5.0% from FY2025.
- Accumulated Expenses has a five-year compound annual growth rate of 20.4% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $3.69 million in FY2025 (-13.6%), $4.26 million in FY2024 (+68.3%), $2.53 million in FY2023 (-26.3%) and $3.44 million in FY2022 (+125.1%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Accumulated Expenses since fiscal Q4 2024.
- Year over year, Accumulated Expenses has now increased in each of the last three quarters, with growth averaging 8.1% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q1 2023 (growth of 224.2%); the low point was fiscal Q4 2023 (a decline of 26.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $3.87 million (Q4 2026), $3.59 million (Q3 2026) and $3.27 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn |
| 10 | Techprecision | 49.49 Mn | 48.51 Mn | 1.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.02 Mn |
| Mar 31, 2026 | 3.87 Mn |
| Dec 31, 2025 | 3.59 Mn |
| Sep 30, 2025 | 3.27 Mn |
| Jun 30, 2025 | 3.69 Mn |
| Mar 31, 2025 | 3.69 Mn |
| Dec 31, 2024 | 3.34 Mn |
| Sep 30, 2024 | 3.94 Mn |
| Jun 30, 2024 | 3.37 Mn |
| Mar 31, 2024 | 4.26 Mn |
| Dec 31, 2023 | 2.72 Mn |
| Sep 30, 2023 | 2.79 Mn |
| Jun 30, 2023 | 2.55 Mn |
| Mar 31, 2023 | 2.53 Mn |
| Dec 31, 2022 | 2.44 Mn |
| Sep 30, 2022 | 2.48 Mn |
| Jun 30, 2022 | 3.46 Mn |
| Mar 31, 2022 | 3.44 Mn |
| Dec 31, 2021 | 2.53 Mn |
| Sep 30, 2021 | 2.32 Mn |
Techprecision Accumulated Expenses 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=accumulated-expenses&ticker=TPCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TPCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();