Mind Technology (MIND) Total Current Liabilities (2011 - 2026)
Mind Technology (MIND) recorded Total Current Liabilities of $6.2 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 6.4% from $6.62 million a year earlier and down 31.0% from the prior quarter.
Mind Technology (MIND) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Mind Technology reported Total Current Liabilities of $7.44 million, down 13.9% from FY2025.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -1.0% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $8.65 million in FY2025 (-15.9%), $10.28 million in FY2024 (+15.1%), $8.93 million in FY2023 (-16.5%) and $10.7 million in FY2022 (+36.5%).
- The fiscal Q2 2027 figure is the lowest quarterly Total Current Liabilities since fiscal Q2 2021.
- On a year-over-year basis, Total Current Liabilities rose in two of the last eight quarters, with an average decline of 12.5%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 46.8% in fiscal Q3 2022, against a decline of 46.4% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $8.98 million (Q1 2027), $7.44 million (Q4 2026) and $6.82 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | - |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Mind Technology | 39.26 Mn | -32.74 Mn | 2.09 Mn | 6.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.20 Mn |
| Apr 30, 2026 | 8.98 Mn |
| Jan 31, 2026 | 7.44 Mn |
| Oct 31, 2025 | 6.82 Mn |
| Jul 31, 2025 | 6.62 Mn |
| Apr 30, 2025 | 8.94 Mn |
| Jan 31, 2025 | 8.65 Mn |
| Oct 31, 2024 | 10.03 Mn |
| Jul 31, 2024 | 12.36 Mn |
| Apr 30, 2024 | 10.22 Mn |
| Jan 31, 2024 | 10.28 Mn |
| Oct 31, 2023 | 7.91 Mn |
| Jul 31, 2023 | 11.99 Mn |
| Apr 30, 2023 | 9.95 Mn |
| Jan 31, 2023 | 8.93 Mn |
| Oct 31, 2022 | 10.33 Mn |
| Jul 31, 2022 | 8.32 Mn |
| Apr 30, 2022 | 9.62 Mn |
| Jan 31, 2022 | 10.70 Mn |
| Oct 31, 2021 | 9.13 Mn |
Mind Technology 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=MIND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "MIND", "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=MIND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();