Mind Technology (MIND) Cost of Revenue (2010 - 2026)
Mind Technology's Cost of Revenue came in at $3.53 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 47.5% from $6.73 million a year earlier and down 36.6% from the prior quarter.
Mind Technology (MIND) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Mind Technology reported Cost of Revenue of $20.09 million, down 24.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $22.28 million, down 14.0% from FY2025.
- Cost of Revenue carries a five-year compound annual growth rate of 9.9% (FY2021 to FY2026).
- Going back by fiscal year, Cost of Revenue was $25.9 million in FY2025 (+26.1%), $20.54 million in FY2024 (-7.1%), $22.12 million in FY2023 (+29.4%) and $17.09 million in FY2022 (+22.9%).
- The fiscal Q2 2027 figure represents the lowest quarterly Cost of Revenue since fiscal Q3 2024.
- Year-over-year, Cost of Revenue increased in four of the last eight quarters, with growth averaging 12.1%.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q4 2023 (growth of 217.6%), and the weakest in fiscal Q3 2023 (a decline of 58.0%).
- Business Quant data shows MIND's Cost of Revenue at $5.58 million (Q1 2027), $5.81 million (Q4 2026) and $5.18 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Mind Technology | 40.99 Mn | -31.01 Mn | 2.09 Mn | 3.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.53 Mn |
| Apr 30, 2026 | 5.58 Mn |
| Jan 31, 2026 | 5.81 Mn |
| Oct 31, 2025 | 5.18 Mn |
| Jul 31, 2025 | 6.73 Mn |
| Apr 30, 2025 | 4.57 Mn |
| Jan 31, 2025 | 8.49 Mn |
| Oct 31, 2024 | 6.68 Mn |
| Jul 31, 2024 | 5.26 Mn |
| Apr 30, 2024 | 5.46 Mn |
| Jan 31, 2024 | 7.14 Mn |
| Oct 31, 2023 | 2.72 Mn |
| Jul 31, 2023 | 4.62 Mn |
| Apr 30, 2023 | 7.17 Mn |
| Jan 31, 2023 | 11.67 Mn |
| Oct 31, 2022 | 2.18 Mn |
| Jul 31, 2022 | 5.18 Mn |
| Apr 30, 2022 | 5.80 Mn |
| Jan 31, 2022 | 3.67 Mn |
| Oct 31, 2021 | 5.18 Mn |
Mind Technology Cost of Revenue 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=cost-of-revenue&ticker=MIND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MIND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();