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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 303.54 Bn | 262.06 Bn | 5.02 Bn |
| 2 | Rtx | 262.72 Bn | 230.99 Bn | 5.81 Bn |
| 3 | Boeing | 148.13 Bn | 54.82 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 135.78 Bn | 122.50 Bn | 2.45 Bn |
| 5 | General Dynamics | 94.57 Bn | 81.69 Bn | 2.18 Bn |
| 6 | Motorola Solutions | 79.37 Bn | 75.71 Bn | 1.68 Bn |
| 7 | Northrop Grumman | 78.67 Bn | 66.13 Bn | 2.35 Bn |
| 8 | Howmet Aerospace | 77.61 Bn | 73.21 Bn | 951.00 Mn |
| 9 | Honeywell International | 69.07 Bn | 21.20 Bn | 3.65 Bn |
| 10 | Coda Octopus | 104.17 Mn | -17.29 Mn | 5.05 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();