Coda Octopus (CODA) Return on Sales [ROS] (2009 - 2026)
Coda Octopus (CODA) recorded Return on Sales [ROS] 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) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Coda Octopus' Return on Sales [ROS] 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 was 17.08%, down 0.57 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +3.09 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] 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 Return on Sales [ROS] 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, Return on Sales [ROS] 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 Return on Sales [ROS] 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) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,888.97 Bn | 1,650.69 Bn | 9.10 Bn | 19.15% |
| 2 | General Electric | 342.82 Bn | 301.57 Bn | 5.02 Bn | -1.26% |
| 3 | Rtx | 267.90 Bn | 237.89 Bn | 5.81 Bn | 13.37% |
| 4 | Lockheed Martin | 137.70 Bn | 121.94 Bn | 2.44 Bn | 11.80% |
| 5 | Boeing | 135.95 Bn | 44.93 Bn | 2.17 Bn | 1.46% |
| 6 | General Dynamics | 98.18 Bn | 83.41 Bn | 2.25 Bn | 10.48% |
| 7 | Motorola Solutions | 87.93 Bn | 84.41 Bn | 1.77 Bn | 23.02% |
| 8 | Howmet Aerospace | 87.90 Bn | 83.65 Bn | 1.00 Bn | 28.75% |
| 9 | Northrop Grumman | 78.19 Bn | 65.65 Bn | 2.35 Bn | 11.41% |
| 10 | Coda Octopus | 97.24 Mn | -24.23 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 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();