Coda Octopus (CODA) Shares Outstanding (Entity) (2009 - 2026)
Coda Octopus' Shares Outstanding (Entity) came in at 11.28 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 0.3% from 11.25 million a year earlier and unchanged from the prior quarter.
Coda Octopus (CODA) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Coda Octopus' Shares Outstanding (Entity) was 11.27 million, up 0.7% from FY2024.
- Shares Outstanding (Entity) has increased in each of the last nine fiscal years, with a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- Going back by fiscal year, Shares Outstanding (Entity) was 11.2 million in FY2024 (+0.7%), 11.12 million in FY2023 (+1.8%), 10.92 million in FY2022 (+0.5%) and 10.86 million in FY2021 (+1.0%).
- The fiscal Q3 2026 figure represents the highest quarterly Shares Outstanding (Entity) since fiscal Q4 2010.
- Year-over-year, Shares Outstanding (Entity) has increased for 16 consecutive quarters, with growth averaging 0.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Entity) ran from 0.0% in fiscal Q3 2022 to 2.4% in fiscal Q3 2023.
- Business Quant data shows CODA's Shares Outstanding (Entity) at 11.28 million (Q2 2026), 11.27 million (Q1 2026) and 11.27 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 1.04 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.35 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 790.37 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 230.79 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 400.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 270.56 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 165.50 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 142.06 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 316.94 Mn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn | 11.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 11.28 Mn |
| Apr 30, 2026 | 11.28 Mn |
| Jan 31, 2026 | 11.27 Mn |
| Oct 31, 2025 | 11.27 Mn |
| Jul 31, 2025 | 11.25 Mn |
| Apr 30, 2025 | 11.23 Mn |
| Jan 31, 2025 | 11.22 Mn |
| Oct 31, 2024 | 11.20 Mn |
| Jul 31, 2024 | 11.18 Mn |
| Apr 30, 2024 | 11.17 Mn |
| Jan 31, 2024 | 11.16 Mn |
| Oct 31, 2023 | 11.12 Mn |
| Jul 31, 2023 | 11.12 Mn |
| Apr 30, 2023 | 11.04 Mn |
| Jan 31, 2023 | 10.94 Mn |
| Oct 31, 2022 | 10.92 Mn |
| Jul 31, 2022 | 10.86 Mn |
| Apr 30, 2022 | 10.86 Mn |
| Jan 31, 2022 | 10.86 Mn |
| Oct 31, 2021 | 10.86 Mn |
Coda Octopus Shares Outstanding (Entity) 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-entity&ticker=CODA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();