Mind Technology (MIND) Total Liabilities (2011 - 2026)
Mind Technology (MIND) reported Total Liabilities of $6.36 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 9.0% from $6.99 million a year earlier and down 31.2% from the prior quarter.
Mind Technology (MIND) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Mind Technology posted Total Liabilities of $7.85 million, down 16.4% from FY2025.
- Total Liabilities has a five-year compound annual growth rate of -3.4% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $9.39 million in FY2025 (-13.5%), $10.85 million in FY2024 (+10.6%), $9.81 million in FY2023 (-16.6%) and $11.76 million in FY2022 (+25.8%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Total Liabilities in data going back to fiscal Q4 2011.
- Year over year, Total Liabilities has now declined in each of the last seven quarters, with an average decline of 13.8% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q2 2024 (growth of 28.6%); the low point was fiscal Q2 2026 (a decline of 47.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $9.24 million (Q1 2027), $7.85 million (Q4 2026) and $7.4 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Mind Technology | 39.26 Mn | -32.74 Mn | 2.09 Mn | 6.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.36 Mn |
| Apr 30, 2026 | 9.24 Mn |
| Jan 31, 2026 | 7.85 Mn |
| Oct 31, 2025 | 7.40 Mn |
| Jul 31, 2025 | 6.99 Mn |
| Apr 30, 2025 | 9.59 Mn |
| Jan 31, 2025 | 9.39 Mn |
| Oct 31, 2024 | 10.90 Mn |
| Jul 31, 2024 | 13.35 Mn |
| Apr 30, 2024 | 11.22 Mn |
| Jan 31, 2024 | 10.85 Mn |
| Oct 31, 2023 | 8.63 Mn |
| Jul 31, 2023 | 12.75 Mn |
| Apr 30, 2023 | 10.98 Mn |
| Jan 31, 2023 | 9.81 Mn |
| Oct 31, 2022 | 12.00 Mn |
| Jul 31, 2022 | 9.91 Mn |
| Apr 30, 2022 | 10.65 Mn |
| Jan 31, 2022 | 11.76 Mn |
| Oct 31, 2021 | 10.44 Mn |
Mind Technology Total 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-liabilities&ticker=MIND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=MIND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();