Coda Octopus (CODA) Assets (2009 - 2026)
Coda Octopus' Assets came in at $68.85 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 11.2% from $61.91 million a year earlier and up 2.2% from the prior quarter.
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Analysis
Coda Octopus (CODA) Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Coda Octopus' Assets was $64.49 million, up 12.1% from FY2024.
- Assets has increased in each of the last nine fiscal years, with a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- Going back by fiscal year, Assets was $57.54 million in FY2024 (+11.0%), $51.84 million in FY2023 (+10.5%), $46.93 million in FY2022 (+3.2%) and $45.47 million in FY2021 (+19.5%).
- The five-year range for quarterly Assets is $44.86 million (fiscal Q2 2022) to $75.26 million (fiscal Q4 2025).
- Year-over-year, Assets has increased for 38 consecutive quarters, with growth averaging 13.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Assets ranged from 3.2% (fiscal Q4 2022) to 22.1% (fiscal Q4 2024).
- Business Quant data shows CODA's Assets at $67.34 million (Q2 2026), $65.62 million (Q1 2026) and $75.26 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 127.67 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 173.97 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 165.87 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 62.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 13.25 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 60.16 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 19.24 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 50.76 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 77.34 Bn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn | 68.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 68.85 Mn |
| Apr 30, 2026 | 67.34 Mn |
| Jan 31, 2026 | 65.62 Mn |
| Oct 31, 2025 | 75.26 Mn |
| Jul 31, 2025 | 61.91 Mn |
| Apr 30, 2025 | 60.59 Mn |
| Jan 31, 2025 | 56.90 Mn |
| Oct 31, 2024 | 63.31 Mn |
| Jul 31, 2024 | 55.95 Mn |
| Apr 30, 2024 | 54.00 Mn |
| Jan 31, 2024 | 53.01 Mn |
| Oct 31, 2023 | 51.84 Mn |
| Jul 31, 2023 | 51.97 Mn |
| Apr 30, 2023 | 50.90 Mn |
| Jan 31, 2023 | 50.50 Mn |
| Oct 31, 2022 | 46.93 Mn |
| Jul 31, 2022 | 47.20 Mn |
| Apr 30, 2022 | 44.86 Mn |
| Jan 31, 2022 | 45.40 Mn |
| Oct 31, 2021 | 45.47 Mn |
API Access
Coda Octopus Assets 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=assets&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();