Coda Octopus (CODA) Current Assets (2009 - 2026)
Coda Octopus (CODA) reported Current Assets of $54.6 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 15.2% from $47.41 million a year earlier and up 3.1% from the prior quarter.
Coda Octopus (CODA) Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Coda Octopus posted Current Assets of $50.01 million, up 16.3% from FY2024.
- Current Assets has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- By fiscal year, Current Assets came in at $42.98 million in FY2024 (+5.1%), $40.89 million in FY2023 (+10.5%), $37.01 million in FY2022 (+4.1%) and $35.56 million in FY2021 (+28.4%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Current Assets in data going back to fiscal Q1 2009.
- Year over year, Current Assets has now increased in each of the last six quarters, with growth averaging 10.0% over the last eight quarters.
- The high point for year-over-year Current Assets in five years was fiscal Q4 2021 (growth of 28.4%); the low point was fiscal Q1 2025 (a decline of 0.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $52.94 million (Q2 2026), $51.16 million (Q1 2026) and $50.01 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,888.97 Bn | 1,650.69 Bn | 9.10 Bn | 100.98 Bn |
| 2 | General Electric | 342.82 Bn | 301.57 Bn | 5.02 Bn | 41.53 Bn |
| 3 | Rtx | 267.90 Bn | 237.89 Bn | 5.81 Bn | 66.07 Bn |
| 4 | Lockheed Martin | 137.70 Bn | 121.94 Bn | 2.44 Bn | 31.00 Bn |
| 5 | Boeing | 135.95 Bn | 44.93 Bn | 2.17 Bn | 129.27 Bn |
| 6 | General Dynamics | 98.18 Bn | 83.41 Bn | 2.25 Bn | 26.87 Bn |
| 7 | Motorola Solutions | 87.93 Bn | 84.41 Bn | 1.77 Bn | 6.71 Bn |
| 8 | Howmet Aerospace | 87.90 Bn | 83.65 Bn | 1.00 Bn | 4.12 Bn |
| 9 | Northrop Grumman | 78.19 Bn | 65.65 Bn | 2.35 Bn | 16.98 Bn |
| 10 | Coda Octopus | 97.24 Mn | -24.23 Mn | 5.05 Mn | 54.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 54.60 Mn |
| Apr 30, 2026 | 52.94 Mn |
| Jan 31, 2026 | 51.16 Mn |
| Oct 31, 2025 | 50.01 Mn |
| Jul 31, 2025 | 47.41 Mn |
| Apr 30, 2025 | 46.32 Mn |
| Jan 31, 2025 | 42.72 Mn |
| Oct 31, 2024 | 42.98 Mn |
| Jul 31, 2024 | 45.70 Mn |
| Apr 30, 2024 | 43.83 Mn |
| Jan 31, 2024 | 42.77 Mn |
| Oct 31, 2023 | 40.89 Mn |
| Jul 31, 2023 | 41.73 Mn |
| Apr 30, 2023 | 40.84 Mn |
| Jan 31, 2023 | 40.31 Mn |
| Oct 31, 2022 | 37.01 Mn |
| Jul 31, 2022 | 37.09 Mn |
| Apr 30, 2022 | 34.52 Mn |
| Jan 31, 2022 | 34.77 Mn |
| Oct 31, 2021 | 35.56 Mn |
Coda Octopus 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=current-assets&ticker=CODA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();