Coda Octopus (CODA) Non-Current Assets (2009 - 2026)
Coda Octopus (CODA) reported Non-Current Assets of $14.25 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 1.7% from $14.5 million a year earlier and down 1.0% from the prior quarter.
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Analysis
Coda Octopus (CODA) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Coda Octopus posted Non-Current Assets of $16.91 million, up 6.8% from FY2024.
- Non-Current Assets has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- By fiscal year, Non-Current Assets came in at $15.83 million in FY2024 (+44.5%), $10.95 million in FY2023 (+10.5%), $9.92 million in FY2022 (+0.1%) and $9.91 million in FY2021 (-4.3%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Non-Current Assets since fiscal Q1 2025.
- Year over year, Non-Current Assets gained in seven of the last eight quarters, with growth averaging 21.7%.
- The high point for year-over-year Non-Current Assets in five years was fiscal Q4 2024 (growth of 46.3%); the low point was fiscal Q4 2021 (a decline of 4.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $14.4 million (Q2 2026), $14.46 million (Q1 2026) and $16.91 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 87.98 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.25 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 41.24 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 34.05 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 9.06 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 33.13 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 13.11 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 35.17 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 49.27 Bn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn | 14.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 14.25 Mn |
| Apr 30, 2026 | 14.40 Mn |
| Jan 31, 2026 | 14.46 Mn |
| Oct 31, 2025 | 16.91 Mn |
| Jul 31, 2025 | 14.50 Mn |
| Apr 30, 2025 | 14.27 Mn |
| Jan 31, 2025 | 14.18 Mn |
| Oct 31, 2024 | 16.02 Mn |
| Jul 31, 2024 | 10.24 Mn |
| Apr 30, 2024 | 10.17 Mn |
| Jan 31, 2024 | 10.24 Mn |
| Oct 31, 2023 | 10.95 Mn |
| Jul 31, 2023 | 10.24 Mn |
| Apr 30, 2023 | 10.06 Mn |
| Jan 31, 2023 | 10.20 Mn |
| Oct 31, 2022 | 9.92 Mn |
| Jul 31, 2022 | 10.11 Mn |
| Apr 30, 2022 | 10.34 Mn |
| Jan 31, 2022 | 10.63 Mn |
| Oct 31, 2021 | 9.91 Mn |
API Access
Coda Octopus Non-Current 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=non-current-assets&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();