Mind Technology (MIND) Operating Margin (2010 - 2026)
Mind Technology (MIND) recorded Operating Margin of -31.95% in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 51.59 percentage points from 19.64% a year earlier and down 32.09 percentage points from the prior quarter.
Mind Technology (MIND) Operating Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Mind Technology's Operating Margin came in at -2.67% as of Jul 31, 2026, down 16.38 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 6.98%, down 7.57 percentage points from FY2025.
- Annual Operating Margin has a five-year change of +74.52 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Operating Margin came in at 14.55% in FY2025 (+13.13 pp), 1.42% in FY2024 (+24.01 pp), -22.59% in FY2023 (+40.35 pp) and -62.94% in FY2022 (+4.60 pp).
- The fiscal Q2 2027 figure is the lowest quarterly Operating Margin since fiscal Q3 2023.
- On a year-over-year basis, Operating Margin rose in four of the last eight quarters, with an average year-over-year change of -4.12 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 142.36 percentage points in fiscal Q4 2023, against a drop of 81.16 percentage points in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 0.14% (Q1 2027), 0.80% (Q4 2026) and 7.99% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 26.67% |
| 10 | Mind Technology | 39.26 Mn | -32.74 Mn | 2.09 Mn | -31.95% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -31.95% |
| Apr 30, 2026 | 0.14% |
| Jan 31, 2026 | 0.80% |
| Oct 31, 2025 | 7.99% |
| Jul 31, 2025 | 19.64% |
| Apr 30, 2025 | -8.33% |
| Jan 31, 2025 | 18.49% |
| Oct 31, 2024 | 15.50% |
| Jul 31, 2024 | 14.25% |
| Apr 30, 2024 | 7.54% |
| Jan 31, 2024 | 17.33% |
| Oct 31, 2023 | -29.21% |
| Jul 31, 2023 | -10.14% |
| Apr 30, 2023 | 3.95% |
| Jan 31, 2023 | 6.71% |
| Oct 31, 2022 | -95.59% |
| Jul 31, 2022 | -17.80% |
| Apr 30, 2022 | -27.25% |
| Jan 31, 2022 | -135.65% |
| Oct 31, 2021 | -24.60% |
Mind Technology Operating Margin 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-margin&ticker=MIND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=MIND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();