Coda Octopus (CODA) Gross Margin (2010 - 2026)
Coda Octopus (CODA) posted Gross Margin of 65.44% for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 2.84 percentage points from 68.28% a year earlier and down 0.87 percentage points from the prior quarter.
Coda Octopus (CODA) Gross Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Gross Margin at Coda Octopus was 66.11%, up 0.19 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it was 66.49%, down 3.27 percentage points from FY2024.
- Annual Gross Margin shows a five-year change of +2.98 percentage points (FY2020 to FY2025).
- In prior fiscal years, Coda Octopus' Gross Margin was 69.76% in FY2024 (+2.43 pp), 67.34% in FY2023 (-1.01 pp), 68.35% in FY2022 (-0.89 pp) and 69.24% in FY2021 (+5.73 pp).
- Quarterly Gross Margin has run from a low of 60.82% in fiscal Q2 2022 to a high of 73.93% in fiscal Q3 2024 over five years.
- On a year-over-year basis, Gross Margin increased in three of the last eight quarters, with an average year-over-year change of -1.65 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was fiscal Q2 2023, with a gain of 7.53 percentage points; the weakest was fiscal Q2 2022, with a drop of 8.97 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 66.31% (Q2 2026), 65.08% (Q1 2026) and 67.57% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 35.03% |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 20.77% |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 9.83% |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 12.19% |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 37.34% |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 15.49% |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 53.56% |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 19.50% |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 37.59% |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn | 65.44% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 65.44% |
| Apr 30, 2026 | 66.31% |
| Jan 31, 2026 | 65.08% |
| Oct 31, 2025 | 67.57% |
| Jul 31, 2025 | 68.28% |
| Apr 30, 2025 | 64.09% |
| Jan 31, 2025 | 65.81% |
| Oct 31, 2024 | 65.27% |
| Jul 31, 2024 | 73.93% |
| Apr 30, 2024 | 70.23% |
| Jan 31, 2024 | 69.19% |
| Oct 31, 2023 | 64.25% |
| Jul 31, 2023 | 68.81% |
| Apr 30, 2023 | 68.34% |
| Jan 31, 2023 | 67.06% |
| Oct 31, 2022 | 66.92% |
| Jul 31, 2022 | 72.80% |
| Apr 30, 2022 | 60.82% |
| Jan 31, 2022 | 71.25% |
| Oct 31, 2021 | 68.75% |
Coda Octopus Gross 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=gross-margin&ticker=CODA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();