Coda Octopus (CODA) Goodwill & Intangibles (2009 - 2026)
Coda Octopus (CODA) posted Goodwill & Intangibles of $6.49 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 6.6% from $6.94 million a year earlier and down 1.7% from the prior quarter.
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Analysis
Coda Octopus (CODA) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Coda Octopus' Goodwill & Intangibles came in at $7.96 million, down 0.1% from FY2024.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- In prior fiscal years, Coda Octopus' Goodwill & Intangibles was $7.97 million in FY2024 (+105.9%), $3.87 million in FY2023 (+1.2%), $3.82 million in FY2022 (+0.8%) and $3.79 million in FY2021 (+1.7%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Goodwill & Intangibles since fiscal Q3 2024.
- On a year-over-year basis, Goodwill & Intangibles has declined in each of the last four quarters, with growth averaging 41.4% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was fiscal Q4 2024, with growth of 108.4%; the weakest was fiscal Q1 2026, with a decline of 6.8%.
- According to Business Quant data, Goodwill & Intangibles for the three prior fiscal quarters was $6.6 million (Q2 2026), $6.72 million (Q1 2026) and $7.96 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Coda Octopus | 125.67 Mn | -587,533.41 | 5.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.49 Mn |
| Apr 30, 2026 | 6.60 Mn |
| Jan 31, 2026 | 6.72 Mn |
| Oct 31, 2025 | 7.96 Mn |
| Jul 31, 2025 | 6.94 Mn |
| Apr 30, 2025 | 7.07 Mn |
| Jan 31, 2025 | 7.21 Mn |
| Oct 31, 2024 | 8.06 Mn |
| Jul 31, 2024 | 3.91 Mn |
| Apr 30, 2024 | 3.90 Mn |
| Jan 31, 2024 | 3.88 Mn |
| Oct 31, 2023 | 3.87 Mn |
| Jul 31, 2023 | 3.85 Mn |
| Apr 30, 2023 | 3.85 Mn |
| Jan 31, 2023 | 3.83 Mn |
| Oct 31, 2022 | 3.82 Mn |
| Jul 31, 2022 | 3.83 Mn |
| Apr 30, 2022 | 3.82 Mn |
| Jan 31, 2022 | 3.79 Mn |
| Oct 31, 2021 | 3.79 Mn |
API Access
Coda Octopus Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();