Mind Technology (MIND) Research & Development (2017 - 2026)
Mind Technology (MIND) recorded Research & Development of $407,000 in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 30.9% from $311,000 a year earlier and up 31.3% from the prior quarter.
Mind Technology (MIND) Research & Development (2017 - 2026) Analysis & Trends
On a TTM basis, Mind Technology's Research & Development came in at $1.61 million as of Jul 31, 2026, down 11.2% year-over-year; for FY2026 (ended Jan 31, 2026), it was $1.59 million, down 17.1% from FY2025.
- Annual Research & Development has a five-year compound annual growth rate of -12.0% (FY2021 to FY2026).
- Across earlier fiscal years, Research & Development came in at $1.91 million in FY2025 (-10.3%), $2.13 million in FY2024 (+55.4%), $1.37 million in FY2023 (-61.8%) and $3.6 million in FY2022 (+19.7%).
- Quarterly Research & Development has ranged from $310,000 in fiscal Q4 2023 to $1.03 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Research & Development rose in two of the last eight quarters, with an average decline of 6.8%.
- Peak year-over-year performance for Research & Development in the last five years was growth of 111.0% in fiscal Q4 2024, against a decline of 69.9% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $310,000 (Q1 2027), $389,000 (Q4 2026) and $506,000 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 616.00 Mn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | - |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 567.00 Mn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 227.00 Mn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | - |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | - |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | - |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 302.00 Mn |
| 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 | 407,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 407,000.00 |
| Apr 30, 2026 | 310,000.00 |
| Jan 31, 2026 | 389,000.00 |
| Oct 31, 2025 | 506,000.00 |
| Jul 31, 2025 | 311,000.00 |
| Apr 30, 2025 | 380,000.00 |
| Jan 31, 2025 | 562,000.00 |
| Oct 31, 2024 | 562,000.00 |
| Jul 31, 2024 | 328,000.00 |
| Apr 30, 2024 | 462,000.00 |
| Jan 31, 2024 | 654,000.00 |
| Oct 31, 2023 | 508,000.00 |
| Jul 31, 2023 | 493,000.00 |
| Apr 30, 2023 | 478,000.00 |
| Jan 31, 2023 | 310,000.00 |
| Oct 31, 2022 | 412,000.00 |
| Jul 31, 2022 | 833,000.00 |
| Apr 30, 2022 | 1.01 Mn |
| Jan 31, 2022 | 1.03 Mn |
| Oct 31, 2021 | 826,000.00 |
Mind Technology Research & Development 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=research-and-development&ticker=MIND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=MIND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();