Coda Octopus (CODA) Net Margin (2010 - 2026)
Coda Octopus (CODA) recorded Net Margin of 18.01% in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 0.15 percentage points from 18.16% a year earlier and down 6.59 percentage points from the prior quarter.
Coda Octopus (CODA) Net Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Coda Octopus' Net Margin came in at 17.63% as of Jul 31, 2026, up 3.54 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it was 18.14%, down 1.37 percentage points from FY2024.
- Annual Net Margin has a five-year change of +1.46 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Net Margin came in at 19.51% in FY2024 (+3.37 pp), 16.14% in FY2023 (-3.21 pp), 19.35% in FY2022 (-3.84 pp) and 23.19% in FY2021 (+6.51 pp).
- Quarterly Net Margin has ranged from -9.01% in fiscal Q4 2023 to 28.22% in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Net Margin rose in four of the last eight quarters, with an average year-over-year change of +1.95 percentage points.
- Peak year-over-year performance for Net Margin in the last five years was a gain of 15.46 percentage points in fiscal Q4 2024, against a drop of 28.83 percentage points in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 24.59% (Q2 2026), 13.87% (Q1 2026) and 14.10% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 17.75% |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 8.66% |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | -2.16% |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 9.15% |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 20.97% |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 8.23% |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 17.78% |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 10.06% |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 58.46% |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn | 18.01% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 18.01% |
| Apr 30, 2026 | 24.59% |
| Jan 31, 2026 | 13.87% |
| Oct 31, 2025 | 14.10% |
| Jul 31, 2025 | 18.16% |
| Apr 30, 2025 | 12.95% |
| Jan 31, 2025 | 17.52% |
| Oct 31, 2024 | 6.45% |
| Jul 31, 2024 | 23.27% |
| Apr 30, 2024 | 26.59% |
| Jan 31, 2024 | 14.12% |
| Oct 31, 2023 | -9.01% |
| Jul 31, 2023 | 21.24% |
| Apr 30, 2023 | 19.02% |
| Jan 31, 2023 | 24.98% |
| Oct 31, 2022 | 13.71% |
| Jul 31, 2022 | 28.22% |
| Apr 30, 2022 | 12.26% |
| Jan 31, 2022 | 20.85% |
| Oct 31, 2021 | 1.77% |
Coda Octopus Net 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=net-margin&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();