Coda Octopus (CODA) Shares Outstanding (Diluted) (2016 - 2026)
Coda Octopus (CODA) recorded Shares Outstanding (Diluted) of 11.3 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), unchanged from 11.3 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Coda Octopus (CODA) Shares Outstanding (Diluted) (2016 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Coda Octopus reported Shares Outstanding (Diluted) of 11.25 million, down 0.3% from FY2024.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- Across earlier fiscal years, Shares Outstanding (Diluted) came in at 11.29 million in FY2024 (-0.3%), 11.32 million in FY2023 (+0.4%), 11.28 million in FY2022 (-0.3%) and 11.31 million in FY2021 (+0.1%).
- Quarterly Shares Outstanding (Diluted) has ranged from 11.25 million in fiscal Q4 2025 to 11.41 million in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in two of the last eight quarters, with an average decline of 0.1%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 1.9% in fiscal Q2 2022, against a decline of 1.0% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 11.29 million (Q2 2026), 11.29 million (Q1 2026) and 11.25 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 1.05 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.37 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 790.80 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 231.10 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 402.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 273.52 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 167.20 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 142.40 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 318.60 Mn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn | 11.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 11.30 Mn |
| Apr 30, 2026 | 11.29 Mn |
| Jan 31, 2026 | 11.29 Mn |
| Oct 31, 2025 | 11.25 Mn |
| Jul 31, 2025 | 11.30 Mn |
| Apr 30, 2025 | 11.31 Mn |
| Jan 31, 2025 | 11.30 Mn |
| Oct 31, 2024 | 11.29 Mn |
| Jul 31, 2024 | 11.31 Mn |
| Apr 30, 2024 | 11.29 Mn |
| Jan 31, 2024 | 11.26 Mn |
| Oct 31, 2023 | 11.32 Mn |
| Jul 31, 2023 | 11.28 Mn |
| Apr 30, 2023 | 11.33 Mn |
| Jan 31, 2023 | 11.38 Mn |
| Oct 31, 2022 | 11.28 Mn |
| Jul 31, 2022 | 11.38 Mn |
| Apr 30, 2022 | 11.41 Mn |
| Jan 31, 2022 | 11.40 Mn |
| Oct 31, 2021 | 11.31 Mn |
API Access
Coda Octopus Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();