Mind Technology (MIND) Accumulated Expenses (2011 - 2026)
Mind Technology's Accumulated Expenses was $2.04 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 64.0% from $1.24 million a year earlier but down 21.8% from the prior quarter.
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Analysis
Mind Technology (MIND) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Accumulated Expenses at Mind Technology came in at $1.6 million, up 28.2% from FY2025.
- Accumulated Expenses shows a five-year compound annual growth rate of -11.3% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $1.25 million in FY2025 (-41.8%), $2.14 million in FY2024 (+44.9%), $1.48 million in FY2023 (-74.4%) and $5.76 million in FY2022 (+97.9%).
- Quarterly Accumulated Expenses has moved between $1.24 million (fiscal Q2 2026) and $5.76 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with an average decline of 5.4% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q1 2025 (growth of 101.0%); the worst was fiscal Q1 2026 (a decline of 74.4%).
- Per Business Quant data, MIND's Accumulated Expenses in the three fiscal quarters before Q2 2027 was $2.61 million (Q1 2027), $1.6 million (Q4 2026) and $1.45 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Mind Technology | 40.45 Mn | -31.55 Mn | 2.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.04 Mn |
| Apr 30, 2026 | 2.61 Mn |
| Jan 31, 2026 | 1.60 Mn |
| Oct 31, 2025 | 1.45 Mn |
| Jul 31, 2025 | 1.24 Mn |
| Apr 30, 2025 | 1.36 Mn |
| Jan 31, 2025 | 1.25 Mn |
| Oct 31, 2024 | 1.74 Mn |
| Jul 31, 2024 | 1.91 Mn |
| Apr 30, 2024 | 5.30 Mn |
| Jan 31, 2024 | 2.14 Mn |
| Oct 31, 2023 | 4.36 Mn |
| Jul 31, 2023 | 3.39 Mn |
| Apr 30, 2023 | 2.64 Mn |
| Jan 31, 2023 | 1.48 Mn |
| Oct 31, 2022 | 4.72 Mn |
| Jul 31, 2022 | 3.64 Mn |
| Apr 30, 2022 | 5.11 Mn |
| Jan 31, 2022 | 5.76 Mn |
| Oct 31, 2021 | 3.40 Mn |
API Access
Mind Technology 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=MIND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MIND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();