Coda Octopus (CODA) Operating Margin (2010 - 2026)
Coda Octopus (CODA) recorded Operating Margin of 19.87% in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 0.33 percentage points from 19.53% a year earlier but down 6.10 percentage points from the prior quarter.
Coda Octopus (CODA) Operating Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Coda Octopus' Operating Margin came in at 20.08% as of Jul 31, 2026, up 6.04 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it came in at 17.08%, down 0.57 percentage points from FY2024.
- Annual Operating Margin has a five-year change of +3.09 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Operating Margin came in at 17.64% in FY2024 (+3.49 pp), 14.16% in FY2023 (-8.36 pp), 22.51% in FY2022 (+4.52 pp) and 17.99% in FY2021 (+4.00 pp).
- Quarterly Operating Margin has ranged from -9.10% in fiscal Q4 2023 to 32.29% in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Operating Margin has increased for four consecutive quarters, with an average year-over-year change of +3.26 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 16.40 percentage points in fiscal Q4 2022, against a drop of 31.18 percentage points in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 25.97% (Q2 2026), 15.05% (Q1 2026) and 19.34% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 18.37% |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn | 19.87% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 19.87% |
| Apr 30, 2026 | 25.97% |
| Jan 31, 2026 | 15.05% |
| Oct 31, 2025 | 19.34% |
| Jul 31, 2025 | 19.53% |
| Apr 30, 2025 | 15.50% |
| Jan 31, 2025 | 12.71% |
| Oct 31, 2024 | 5.69% |
| Jul 31, 2024 | 25.40% |
| Apr 30, 2024 | 25.37% |
| Jan 31, 2024 | 12.45% |
| Oct 31, 2023 | -9.10% |
| Jul 31, 2023 | 17.64% |
| Apr 30, 2023 | 16.13% |
| Jan 31, 2023 | 24.05% |
| Oct 31, 2022 | 22.08% |
| Jul 31, 2022 | 32.29% |
| Apr 30, 2022 | 9.65% |
| Jan 31, 2022 | 23.57% |
| Oct 31, 2021 | 5.68% |
Coda Octopus 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=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "CODA", "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=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();