Coda Octopus (CODA) Change in Other Operating Assets (2009 - 2026)
Coda Octopus (CODA) reported Change in Other Operating Assets of $399,957 for fiscal Q3 2026 (quarter ended Jul 31, 2026), compared with $35,982 a year earlier and down 39.8% from the prior quarter.
Coda Octopus (CODA) Change in Other Operating Assets (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Coda Octopus' Change in Other Operating Assets came in at $111,755; for FY2025 (ended Oct 31, 2025), it was $874,536, down 9.8% from FY2024.
- By fiscal year, Change in Other Operating Assets came in at $969,344 in FY2024 (+78.3%), $543,661 in FY2023, -$888,846 in FY2022 and $1.52 million in FY2021.
- Five-year quarterly Change in Other Operating Assets spans a low of -$1.51 million in fiscal Q1 2022 and a high of $1.12 million in fiscal Q2 2024.
- Year over year, Change in Other Operating Assets gained in two of the last four quarters, with growth averaging 68.4%.
- The high point for year-over-year Change in Other Operating Assets in five years was fiscal Q2 2026 (growth of 372.7%); the low point was fiscal Q3 2025 (a decline of 95.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $664,320 (Q2 2026), -$1.27 million (Q1 2026) and $313,701 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Assets Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,888.97 Bn | 1,650.69 Bn | 9.10 Bn | 1.41 Bn |
| 2 | General Electric | 342.82 Bn | 301.57 Bn | 5.02 Bn | 54.00 Mn |
| 3 | Rtx | 267.90 Bn | 237.89 Bn | 5.81 Bn | 794.00 Mn |
| 4 | Lockheed Martin | 137.70 Bn | 121.94 Bn | 2.44 Bn | 861.00 Mn |
| 5 | Boeing | 135.95 Bn | 44.93 Bn | 2.17 Bn | 636.00 Mn |
| 6 | General Dynamics | 98.18 Bn | 83.41 Bn | 2.25 Bn | -366.00 Mn |
| 7 | Motorola Solutions | 87.93 Bn | 84.41 Bn | 1.77 Bn | 33.00 Mn |
| 8 | Howmet Aerospace | 87.90 Bn | 83.65 Bn | 1.00 Bn | -12.00 Mn |
| 9 | Northrop Grumman | 78.19 Bn | 65.65 Bn | 2.35 Bn | 403.00 Mn |
| 10 | Coda Octopus | 97.24 Mn | -24.23 Mn | 5.05 Mn | 399,957.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 399,957.00 |
| Apr 30, 2026 | 664,320.00 |
| Jan 31, 2026 | -1.27 Mn |
| Oct 31, 2025 | 313,701.00 |
| Jul 31, 2025 | 35,982.00 |
| Apr 30, 2025 | 140,542.00 |
| Jan 31, 2025 | 384,311.00 |
| Oct 31, 2024 | -1.23 Mn |
| Jul 31, 2024 | 872,808.00 |
| Apr 30, 2024 | 1.12 Mn |
| Jan 31, 2024 | 208,542.00 |
| Oct 31, 2023 | -904,498.00 |
| Jul 31, 2023 | 413,597.00 |
| Apr 30, 2023 | 783,878.00 |
| Jan 31, 2023 | 250,684.00 |
| Oct 31, 2022 | 632,719.00 |
| Jul 31, 2022 | 19,611.00 |
| Apr 30, 2022 | -28,472.00 |
| Jan 31, 2022 | -1.51 Mn |
| Oct 31, 2021 | 958,277.00 |
Coda Octopus Change in Other Operating Assets 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=change-in-other-operating-assets&ticker=CODA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-assets", "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=change-in-other-operating-assets&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();