Coda Octopus (CODA) Finished Goods (2016 - 2026)
Coda Octopus (CODA) recorded Finished Goods of $2.63 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 3.2% from $2.72 million a year earlier but up 7.9% from the prior quarter.
Coda Octopus (CODA) Finished Goods (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Coda Octopus reported Finished Goods of $2.45 million, down 26.7% from FY2024.
- Annual Finished Goods has a five-year compound annual growth rate of 16.9% (FY2020 to FY2025).
- Across earlier fiscal years, Finished Goods came in at $3.34 million in FY2024 (+51.3%), $2.21 million in FY2023 (-8.9%), $2.42 million in FY2022 (+7.9%) and $2.25 million in FY2021 (+100.4%).
- Quarterly Finished Goods has ranged from $2.21 million in fiscal Q4 2023 to $3.68 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Finished Goods has declined for six consecutive quarters, with growth averaging 3.2% over the last eight quarters.
- Peak year-over-year performance for Finished Goods in the last five years was growth of 108.9% in fiscal Q1 2022, against a decline of 22.3% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.44 million (Q2 2026), $2.81 million (Q1 2026) and $2.86 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.63 Mn |
| Apr 30, 2026 | 2.44 Mn |
| Jan 31, 2026 | 2.81 Mn |
| Oct 31, 2025 | 2.86 Mn |
| Jul 31, 2025 | 2.72 Mn |
| Apr 30, 2025 | 2.76 Mn |
| Jan 31, 2025 | 3.10 Mn |
| Oct 31, 2024 | 3.68 Mn |
| Jul 31, 2024 | 3.05 Mn |
| Apr 30, 2024 | 3.04 Mn |
| Jan 31, 2024 | 2.46 Mn |
| Oct 31, 2023 | 2.21 Mn |
| Jul 31, 2023 | 2.31 Mn |
| Apr 30, 2023 | 2.30 Mn |
| Jan 31, 2023 | 2.58 Mn |
| Oct 31, 2022 | 2.42 Mn |
| Jul 31, 2022 | 2.67 Mn |
| Apr 30, 2022 | 2.45 Mn |
| Jan 31, 2022 | 2.44 Mn |
| Oct 31, 2021 | 2.25 Mn |
Coda Octopus Finished Goods 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=finished-goods&ticker=CODA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();