Coda Octopus (CODA) Sales of Property, Plant and Equipment (2011 - 2026)
Coda Octopus (CODA) posted Sales of Property, Plant and Equipment of -$121.00 for fiscal Q3 2026 (quarter ended Jul 31, 2026).
Coda Octopus (CODA) Sales of Property, Plant and Equipment (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Sales of Property, Plant and Equipment at Coda Octopus was $3,893; for FY2024 (ended Oct 31, 2024), it came in at $775,821, up 27.3% from FY2023.
- Annual Sales of Property, Plant and Equipment shows a five-year compound annual growth rate of 1.5% (FY2019 to FY2024).
- In prior fiscal years, Coda Octopus' Sales of Property, Plant and Equipment was $609,565 in FY2023.
- The fiscal Q3 2026 figure stands as the highest quarterly Sales of Property, Plant and Equipment since fiscal Q3 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 45.00 Mn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 1.00 Mn |
| 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 | -121.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -121.00 |
| Jul 31, 2024 | 4,014.00 |
| Jan 31, 2024 | 771,807.00 |
| Oct 31, 2019 | -5,923.00 |
| Oct 31, 2017 | -20,473.00 |
| Jul 31, 2017 | 198,275.00 |
| Apr 30, 2011 | 87,547.00 |
| Jan 31, 2011 | -84,210.00 |
Coda Octopus Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=CODA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();