Coda Octopus (CODA) Market Capitalization (2009 - 2026)
Coda Octopus (CODA) reported Market Capitalization of $114.39 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 36.5% from $83.8 million a year earlier but down 10.3% from the prior quarter.
Coda Octopus (CODA) Market Capitalization (2009 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Coda Octopus posted Market Capitalization of $115.52 million, up 21.0% from FY2024.
- Market Capitalization has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- By fiscal year, Market Capitalization came in at $95.5 million in FY2024 (+30.1%), $73.38 million in FY2023 (+4.7%), $70.09 million in FY2022 (-23.5%) and $91.63 million in FY2021 (+54.4%).
- Five-year quarterly Market Capitalization spans a low of $53.97 million in fiscal Q3 2022 and a high of $127.53 million in fiscal Q2 2026.
- Year over year, Market Capitalization has now increased in each of the last eight quarters, with growth averaging 30.9% over the last eight quarters.
- The high point for year-over-year Market Capitalization in five years was fiscal Q3 2023 (growth of 78.6%); the low point was fiscal Q3 2022 (a decline of 44.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $127.53 million (Q2 2026), $120.03 million (Q1 2026) and $115.52 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 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 |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 114.39 Mn |
| Apr 30, 2026 | 127.53 Mn |
| Jan 31, 2026 | 120.03 Mn |
| Oct 31, 2025 | 115.52 Mn |
| Jul 31, 2025 | 83.80 Mn |
| Apr 30, 2025 | 75.26 Mn |
| Jan 31, 2025 | 90.31 Mn |
| Oct 31, 2024 | 95.50 Mn |
| Jul 31, 2024 | 81.83 Mn |
| Apr 30, 2024 | 74.30 Mn |
| Jan 31, 2024 | 58.95 Mn |
| Oct 31, 2023 | 73.38 Mn |
| Jul 31, 2023 | 96.39 Mn |
| Apr 30, 2023 | 88.23 Mn |
| Jan 31, 2023 | 79.00 Mn |
| Oct 31, 2022 | 70.09 Mn |
| Jul 31, 2022 | 53.97 Mn |
| Apr 30, 2022 | 62.00 Mn |
| Jan 31, 2022 | 73.18 Mn |
| Oct 31, 2021 | 91.63 Mn |
Coda Octopus Market Capitalization 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=market-capitalization&ticker=CODA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();