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%).
- Five-year quarterly Current Assets spans a low of $34.52 million in fiscal Q2 2022 and a high of $58.35 million in fiscal Q4 2025.
- Year over year, Current Assets has now increased in each of the last six quarters, with growth averaging 12.2% 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 $58.35 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 39.70 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 63.91 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 124.63 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 28.40 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 4.19 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 27.04 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 6.13 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 15.59 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 28.08 Bn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 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 | 58.35 Mn |
| Jul 31, 2025 | 47.41 Mn |
| Apr 30, 2025 | 46.32 Mn |
| Jan 31, 2025 | 42.72 Mn |
| Oct 31, 2024 | 47.29 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();