Coda Octopus (CODA) Other Non-Current Assets (2009 - 2026)
Coda Octopus' Other Non-Current Assets was $6.49 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 6.6% from $6.94 million a year earlier and down 1.7% from the prior quarter.
Coda Octopus (CODA) Other Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Other Non-Current Assets at Coda Octopus came in at $6.82 million, down 6.9% from FY2024.
- Other Non-Current Assets shows a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- In earlier fiscal years, Other Non-Current Assets was $7.33 million in FY2024 (+79.6%), $4.08 million in FY2023 (-0.1%), $4.08 million in FY2022 (+5.5%) and $3.87 million in FY2021 (-9.8%).
- The fiscal Q3 2026 figure marks the lowest quarterly Other Non-Current Assets since fiscal Q3 2024.
- Compared with a year earlier, Other Non-Current Assets has declined for four straight quarters, with growth averaging 40.0% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Assets over five years was fiscal Q4 2024 (growth of 97.6%); the worst was fiscal Q1 2022 (a decline of 11.6%).
- Per Business Quant data, CODA's Other Non-Current Assets in the three fiscal quarters before Q3 2026 was $6.6 million (Q2 2026), $6.72 million (Q1 2026) and $7.96 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 15.47 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 5.50 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 4.20 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 7.16 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 240.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 3.34 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 505.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 1.49 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 9.47 Bn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn | 6.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.49 Mn |
| Apr 30, 2026 | 6.60 Mn |
| Jan 31, 2026 | 6.72 Mn |
| Oct 31, 2025 | 7.96 Mn |
| Jul 31, 2025 | 6.94 Mn |
| Apr 30, 2025 | 7.07 Mn |
| Jan 31, 2025 | 7.21 Mn |
| Oct 31, 2024 | 8.06 Mn |
| Jul 31, 2024 | 3.91 Mn |
| Apr 30, 2024 | 3.90 Mn |
| Jan 31, 2024 | 3.90 Mn |
| Oct 31, 2023 | 4.08 Mn |
| Jul 31, 2023 | 3.99 Mn |
| Apr 30, 2023 | 3.99 Mn |
| Jan 31, 2023 | 4.13 Mn |
| Oct 31, 2022 | 4.08 Mn |
| Jul 31, 2022 | 3.99 Mn |
| Apr 30, 2022 | 3.96 Mn |
| Jan 31, 2022 | 3.88 Mn |
| Oct 31, 2021 | 3.87 Mn |
Coda Octopus Other 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=other-non-current-assets&ticker=CODA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-assets&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();