Coda Octopus (CODA) Cash & Equivalents (2009 - 2026)
Coda Octopus' Cash & Equivalents came in at $31.71 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 21.1% from $26.2 million a year earlier and up 3.6% from the prior quarter.
Coda Octopus (CODA) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Coda Octopus' Cash & Equivalents was $28.68 million, up 27.6% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- Going back by fiscal year, Cash & Equivalents was $22.48 million in FY2024 (-8.1%), $24.45 million in FY2023 (+6.6%), $22.93 million in FY2022 (+29.2%) and $17.75 million in FY2021 (+17.3%).
- The fiscal Q3 2026 figure represents the highest quarterly Cash & Equivalents in data going back to fiscal Q1 2009.
- Year-over-year, Cash & Equivalents has increased for six consecutive quarters, with growth averaging 12.3% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q1 2026 (growth of 35.1%), and the weakest in fiscal Q1 2025 (a decline of 9.8%).
- Business Quant data shows CODA's Cash & Equivalents at $30.62 million (Q2 2026), $30.45 million (Q1 2026) and $28.68 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,888.97 Bn | 1,650.69 Bn | 9.10 Bn | 51.29 Bn |
| 2 | General Electric | 342.82 Bn | 301.57 Bn | 5.02 Bn | 8.76 Bn |
| 3 | Rtx | 267.90 Bn | 237.89 Bn | 5.81 Bn | 9.17 Bn |
| 4 | Lockheed Martin | 137.70 Bn | 121.94 Bn | 2.44 Bn | 5.96 Bn |
| 5 | Boeing | 135.95 Bn | 44.93 Bn | 2.17 Bn | 9.50 Bn |
| 6 | General Dynamics | 98.18 Bn | 83.41 Bn | 2.25 Bn | 4.40 Bn |
| 7 | Motorola Solutions | 87.93 Bn | 84.41 Bn | 1.77 Bn | 774.00 Mn |
| 8 | Howmet Aerospace | 87.90 Bn | 83.65 Bn | 1.00 Bn | 507.00 Mn |
| 9 | Northrop Grumman | 78.19 Bn | 65.65 Bn | 2.35 Bn | 3.74 Bn |
| 10 | Coda Octopus | 97.24 Mn | -24.23 Mn | 5.05 Mn | 31.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 31.71 Mn |
| Apr 30, 2026 | 30.62 Mn |
| Jan 31, 2026 | 30.45 Mn |
| Oct 31, 2025 | 28.68 Mn |
| Jul 31, 2025 | 26.20 Mn |
| Apr 30, 2025 | 24.46 Mn |
| Jan 31, 2025 | 22.54 Mn |
| Oct 31, 2024 | 22.48 Mn |
| Jul 31, 2024 | 25.22 Mn |
| Apr 30, 2024 | 23.71 Mn |
| Jan 31, 2024 | 25.00 Mn |
| Oct 31, 2023 | 24.45 Mn |
| Jul 31, 2023 | 24.89 Mn |
| Apr 30, 2023 | 23.46 Mn |
| Jan 31, 2023 | 24.52 Mn |
| Oct 31, 2022 | 22.93 Mn |
| Jul 31, 2022 | 21.37 Mn |
| Apr 30, 2022 | 20.66 Mn |
| Jan 31, 2022 | 20.71 Mn |
| Oct 31, 2021 | 17.75 Mn |
Coda Octopus Cash & Equivalents 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=cash-and-equivalents&ticker=CODA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();