Mind Technology (MIND) Operating Expenses (2010 - 2026)
Mind Technology (MIND) posted Operating Expenses of $3.89 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 6.7% from $4.17 million a year earlier and down 4.8% from the prior quarter.
Mind Technology (MIND) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Operating Expenses at Mind Technology was $15.62 million, up 1.0% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $15.81 million, up 11.7% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of -6.1% (FY2021 to FY2026).
- In prior fiscal years, Mind Technology's Operating Expenses was $14.15 million in FY2025 (-8.4%), $15.45 million in FY2024 (-0.9%), $15.6 million in FY2023 (-24.1%) and $20.57 million in FY2022 (-4.9%).
- Quarterly Operating Expenses has run from a low of $3.35 million in fiscal Q2 2025 to a high of $5.77 million in fiscal Q1 2023 over five years.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 4.4%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2026, with growth of 24.4%; the weakest was fiscal Q4 2023, with a decline of 29.4%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $4.08 million (Q1 2027), $3.91 million (Q4 2026) and $3.74 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | - |
| 10 | Mind Technology | 39.26 Mn | -32.74 Mn | 2.09 Mn | 3.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.89 Mn |
| Apr 30, 2026 | 4.08 Mn |
| Jan 31, 2026 | 3.91 Mn |
| Oct 31, 2025 | 3.74 Mn |
| Jul 31, 2025 | 4.17 Mn |
| Apr 30, 2025 | 3.99 Mn |
| Jan 31, 2025 | 3.77 Mn |
| Oct 31, 2024 | 3.55 Mn |
| Jul 31, 2024 | 3.35 Mn |
| Apr 30, 2024 | 3.49 Mn |
| Jan 31, 2024 | 3.92 Mn |
| Oct 31, 2023 | 3.71 Mn |
| Jul 31, 2023 | 3.71 Mn |
| Apr 30, 2023 | 4.12 Mn |
| Jan 31, 2023 | 3.66 Mn |
| Oct 31, 2022 | 3.77 Mn |
| Jul 31, 2022 | 5.09 Mn |
| Apr 30, 2022 | 5.77 Mn |
| Jan 31, 2022 | 5.18 Mn |
| Oct 31, 2021 | 5.22 Mn |
Mind Technology Operating 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=operating-expenses&ticker=MIND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=MIND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();