Mind Technology (MIND) Assets (2011 - 2026)
Mind Technology's Assets was $46.69 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 30.3% from $35.83 million a year earlier but down 8.0% from the prior quarter.
Mind Technology (MIND) Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Assets at Mind Technology came in at $49.27 million, up 34.2% from FY2025.
- Assets has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 4.4% (FY2021 to FY2026).
- In earlier fiscal years, Assets was $36.72 million in FY2025 (+9.6%), $33.49 million in FY2024 (+1.9%), $32.86 million in FY2023 (-21.8%) and $42.02 million in FY2022 (+5.7%).
- Quarterly Assets has moved between $29.84 million (fiscal Q3 2024) and $50.76 million (fiscal Q1 2027) over five years.
- Compared with a year earlier, Assets has increased for four straight quarters, with growth averaging 20.6% over the last eight quarters.
- The best year-over-year quarter for Assets over five years was fiscal Q1 2027 (growth of 40.1%); the worst was fiscal Q4 2023 (a decline of 21.8%).
- Per Business Quant data, MIND's Assets in the three fiscal quarters before Q2 2027 was $50.76 million (Q1 2027), $49.27 million (Q4 2026) and $47.34 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 102.61 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 44.81 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 107.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 56.18 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 30.88 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 15.90 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 42.21 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 34.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 16.49 Bn |
| 10 | Mind Technology | 40.45 Mn | -31.55 Mn | 2.09 Mn | 46.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 46.69 Mn |
| Apr 30, 2026 | 50.76 Mn |
| Jan 31, 2026 | 49.27 Mn |
| Oct 31, 2025 | 47.34 Mn |
| Jul 31, 2025 | 35.83 Mn |
| Apr 30, 2025 | 36.23 Mn |
| Jan 31, 2025 | 36.72 Mn |
| Oct 31, 2024 | 36.11 Mn |
| Jul 31, 2024 | 37.84 Mn |
| Apr 30, 2024 | 34.86 Mn |
| Jan 31, 2024 | 33.49 Mn |
| Oct 31, 2023 | 29.84 Mn |
| Jul 31, 2023 | 34.23 Mn |
| Apr 30, 2023 | 33.85 Mn |
| Jan 31, 2023 | 32.86 Mn |
| Oct 31, 2022 | 34.26 Mn |
| Jul 31, 2022 | 35.57 Mn |
| Apr 30, 2022 | 37.78 Mn |
| Jan 31, 2022 | 42.02 Mn |
| Oct 31, 2021 | 35.30 Mn |
Mind Technology Assets 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=assets&ticker=MIND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=MIND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();