Coda Octopus (CODA) Research & Development (2010 - 2026)
Coda Octopus (CODA) recorded Research & Development of $729,216 in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 27.4% from $572,468 a year earlier and up 12.5% from the prior quarter.
Coda Octopus (CODA) Research & Development (2010 - 2026) Analysis & Trends
On a TTM basis, Coda Octopus' Research & Development came in at $2.63 million as of Jul 31, 2026, up 4.1% year-over-year; for FY2025 (ended Oct 31, 2025), it was $2.45 million, up 9.2% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- Across earlier fiscal years, Research & Development came in at $2.24 million in FY2024 (+7.0%), $2.1 million in FY2023 (-6.3%), $2.24 million in FY2022 (-25.0%) and $2.98 million in FY2021 (-6.5%).
- The fiscal Q3 2026 figure is the highest quarterly Research & Development since fiscal Q4 2021.
- On a year-over-year basis, Research & Development rose in six of the last eight quarters, with growth averaging 13.2%.
- Peak year-over-year performance for Research & Development in the last five years was growth of 39.4% in fiscal Q4 2021, against a decline of 56.4% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $648,304 (Q2 2026), $606,102 (Q1 2026) and $642,173 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 460.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 726.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 921.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 8.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 260.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 524.00 Mn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn | 729,216.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 729,216.00 |
| Apr 30, 2026 | 648,304.00 |
| Jan 31, 2026 | 606,102.00 |
| Oct 31, 2025 | 642,173.00 |
| Jul 31, 2025 | 572,468.00 |
| Apr 30, 2025 | 689,995.00 |
| Jan 31, 2025 | 543,126.00 |
| Oct 31, 2024 | 717,612.00 |
| Jul 31, 2024 | 496,359.00 |
| Apr 30, 2024 | 542,481.00 |
| Jan 31, 2024 | 485,977.00 |
| Oct 31, 2023 | 557,783.00 |
| Jul 31, 2023 | 568,287.00 |
| Apr 30, 2023 | 525,939.00 |
| Jan 31, 2023 | 444,458.00 |
| Oct 31, 2022 | 469,699.00 |
| Jul 31, 2022 | 577,953.00 |
| Apr 30, 2022 | 517,378.00 |
| Jan 31, 2022 | 672,890.00 |
| Oct 31, 2021 | 1.08 Mn |
Coda Octopus Research & Development 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=research-and-development&ticker=CODA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();