Coda Octopus (CODA) Inventory (2009 - 2026)
Coda Octopus' Inventory came in at $13.49 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 1.6% from $13.71 million a year earlier and down 3.6% from the prior quarter.
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Analysis
Coda Octopus (CODA) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Coda Octopus' Inventory was $13.64 million, down 2.4% from FY2024.
- Inventory carries a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- Going back by fiscal year, Inventory was $13.98 million in FY2024 (+19.6%), $11.69 million in FY2023 (+16.5%), $10.03 million in FY2022 (-6.2%) and $10.69 million in FY2021 (+16.9%).
- The fiscal Q3 2026 figure represents the lowest quarterly Inventory since fiscal Q1 2025.
- Year-over-year, Inventory increased in seven of the last eight quarters, with growth averaging 7.5%.
- The fastest year-over-year change in Inventory over five years came in fiscal Q4 2024 (growth of 31.6%), and the weakest in fiscal Q4 2022 (a decline of 6.2%).
- Business Quant data shows CODA's Inventory at $14 million (Q2 2026), $14.2 million (Q1 2026) and $15.91 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 12.44 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 14.41 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 88.39 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 4.41 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 2.18 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 9.10 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 1.33 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 1.42 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 6.40 Bn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn | 13.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 13.49 Mn |
| Apr 30, 2026 | 14.00 Mn |
| Jan 31, 2026 | 14.20 Mn |
| Oct 31, 2025 | 15.91 Mn |
| Jul 31, 2025 | 13.71 Mn |
| Apr 30, 2025 | 13.53 Mn |
| Jan 31, 2025 | 13.43 Mn |
| Oct 31, 2024 | 15.38 Mn |
| Jul 31, 2024 | 13.02 Mn |
| Apr 30, 2024 | 12.65 Mn |
| Jan 31, 2024 | 12.77 Mn |
| Oct 31, 2023 | 11.69 Mn |
| Jul 31, 2023 | 11.65 Mn |
| Apr 30, 2023 | 11.23 Mn |
| Jan 31, 2023 | 11.18 Mn |
| Oct 31, 2022 | 10.03 Mn |
| Jul 31, 2022 | 10.18 Mn |
| Apr 30, 2022 | 10.60 Mn |
| Jan 31, 2022 | 11.16 Mn |
| Oct 31, 2021 | 10.69 Mn |
API Access
Coda Octopus Inventory 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=inventory&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();