Coda Octopus (CODA) Enterprise Value (2009 - 2026)
Coda Octopus' Enterprise Value came in at $82.67 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 43.5% from $57.61 million a year earlier but down 14.7% from the prior quarter.
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Analysis
Coda Octopus (CODA) Enterprise Value (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Coda Octopus reported Enterprise Value of -$11.87 million; for FY2025 (ended Oct 31, 2025), it came in at $82.05 million, up 15.5% from FY2024.
- Enterprise Value has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- Going back by fiscal year, Enterprise Value was $71.06 million in FY2024 (+45.2%), $48.93 million in FY2023 (+3.8%), $47.16 million in FY2022 (-36.2%) and $73.89 million in FY2021 (+67.1%).
- The five-year range for quarterly Enterprise Value is $32.59 million (fiscal Q3 2022) to $96.91 million (fiscal Q2 2026).
- Year-over-year, Enterprise Value has increased for eight consecutive quarters, with growth averaging 41.1% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q3 2023 (growth of 119.4%), and the weakest in fiscal Q3 2022 (a decline of 58.6%).
- Business Quant data shows CODA's Enterprise Value at $96.91 million (Q2 2026), $89.59 million (Q1 2026) and $82.05 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 82.67 Mn |
| Apr 30, 2026 | 96.91 Mn |
| Jan 31, 2026 | 89.59 Mn |
| Oct 31, 2025 | 82.05 Mn |
| Jul 31, 2025 | 57.61 Mn |
| Apr 30, 2025 | 50.80 Mn |
| Jan 31, 2025 | 67.77 Mn |
| Oct 31, 2024 | 70.76 Mn |
| Jul 31, 2024 | 56.61 Mn |
| Apr 30, 2024 | 50.59 Mn |
| Jan 31, 2024 | 33.94 Mn |
| Oct 31, 2023 | 48.93 Mn |
| Jul 31, 2023 | 71.50 Mn |
| Apr 30, 2023 | 64.78 Mn |
| Jan 31, 2023 | 54.48 Mn |
| Oct 31, 2022 | 47.16 Mn |
| Jul 31, 2022 | 32.59 Mn |
| Apr 30, 2022 | 41.34 Mn |
| Jan 31, 2022 | 52.47 Mn |
| Oct 31, 2021 | 73.89 Mn |
API Access
Coda Octopus Enterprise Value 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=enterprise-value&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();