Coda Octopus (CODA) Capital Expenditures (2016 - 2026)
Coda Octopus' Capital Expenditures came in at $162,214 for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 73.4% from $609,038 a year earlier but up 33.8% from the prior quarter.
Coda Octopus (CODA) Capital Expenditures (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Coda Octopus reported Capital Expenditures of $731,065, down 14.3% year-over-year; for FY2025 (ended Oct 31, 2025), it was $1.17 million, up 133.0% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- Going back by fiscal year, Capital Expenditures was $502,525 in FY2024 (-75.1%), $2.02 million in FY2023 (+333.5%), $466,471 in FY2022 (-45.2%) and $850,894 in FY2021 (+1.9%).
- The five-year range for quarterly Capital Expenditures is -$653,580 (fiscal Q4 2022) to $1.59 million (fiscal Q4 2023).
- Year-over-year, Capital Expenditures increased in three of the last eight quarters, with growth averaging 93.7%.
- The fastest year-over-year change in Capital Expenditures over five years came in fiscal Q4 2025 (growth of 670.6%), and the weakest in fiscal Q4 2024 (a decline of 97.0%).
- Business Quant data shows CODA's Capital Expenditures at $121,265 (Q2 2026), $82,248 (Q1 2026) and $365,338 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 335.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 669.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 733.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 318.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 104.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 234.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 55.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 302.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 315.00 Mn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn | 162,214.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 162,214.00 |
| Apr 30, 2026 | 121,265.00 |
| Jan 31, 2026 | 82,248.00 |
| Oct 31, 2025 | 365,338.00 |
| Jul 31, 2025 | 609,038.00 |
| Apr 30, 2025 | 68,233.00 |
| Jan 31, 2025 | 128,109.00 |
| Oct 31, 2024 | 47,410.00 |
| Jul 31, 2024 | 164,940.00 |
| Apr 30, 2024 | 154,524.00 |
| Jan 31, 2024 | 135,651.00 |
| Oct 31, 2023 | 1.59 Mn |
| Jul 31, 2023 | 266,309.00 |
| Apr 30, 2023 | 82,201.00 |
| Jan 31, 2023 | 84,422.00 |
| Oct 31, 2022 | -653,580.00 |
| Jul 31, 2022 | 36,940.00 |
| Apr 30, 2022 | 96,018.00 |
| Jan 31, 2022 | 987,093.00 |
| Oct 31, 2021 | 91,161.00 |
Coda Octopus Capital Expenditures 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=capital-expenditures&ticker=CODA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();