Coda Octopus (CODA) Accumulated Expenses (2009 - 2026)
Coda Octopus' Accumulated Expenses came in at $525,359 for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 42.4% from $368,892 a year earlier and up 13.1% from the prior quarter.
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Analysis
Coda Octopus (CODA) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Coda Octopus' Accumulated Expenses was $545,980, down 2.7% from FY2024.
- Accumulated Expenses carries a three-year compound annual growth rate of -28.2% (FY2022 to FY2025).
- Going back by fiscal year, Accumulated Expenses was $560,986 in FY2024 (+45.8%), $384,880 in FY2023 (-73.9%) and $1.47 million in FY2022.
- The five-year range for quarterly Accumulated Expenses is $183,457 (fiscal Q2 2023) to $1.47 million (fiscal Q4 2022).
- Year-over-year, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 30.5% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q1 2026 (growth of 114.5%), and the weakest in fiscal Q4 2023 (a decline of 73.9%).
- Business Quant data shows CODA's Accumulated Expenses at $464,517 (Q2 2026), $747,441 (Q1 2026) and $545,980 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,888.97 Bn | 1,650.69 Bn | 9.10 Bn |
| 2 | General Electric | 342.82 Bn | 301.57 Bn | 5.02 Bn |
| 3 | Rtx | 267.90 Bn | 237.89 Bn | 5.81 Bn |
| 4 | Lockheed Martin | 137.70 Bn | 121.94 Bn | 2.44 Bn |
| 5 | Boeing | 135.95 Bn | 44.93 Bn | 2.17 Bn |
| 6 | General Dynamics | 98.18 Bn | 83.41 Bn | 2.25 Bn |
| 7 | Motorola Solutions | 87.93 Bn | 84.41 Bn | 1.77 Bn |
| 8 | Howmet Aerospace | 87.90 Bn | 83.65 Bn | 1.00 Bn |
| 9 | Northrop Grumman | 78.19 Bn | 65.65 Bn | 2.35 Bn |
| 10 | Coda Octopus | 97.24 Mn | -24.23 Mn | 5.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 525,359.00 |
| Apr 30, 2026 | 464,517.00 |
| Jan 31, 2026 | 747,441.00 |
| Oct 31, 2025 | 545,980.00 |
| Jul 31, 2025 | 368,892.00 |
| Apr 30, 2025 | 349,329.00 |
| Jan 31, 2025 | 348,450.00 |
| Oct 31, 2024 | 560,986.00 |
| Jul 31, 2024 | 315,882.00 |
| Apr 30, 2024 | 388,729.00 |
| Jan 31, 2024 | 333,570.00 |
| Oct 31, 2023 | 384,880.00 |
| Jul 31, 2023 | 395,161.00 |
| Apr 30, 2023 | 183,457.00 |
| Oct 31, 2022 | 1.47 Mn |
| Apr 30, 2011 | 2.55 Mn |
| Jan 31, 2011 | 3.35 Mn |
| Oct 31, 2010 | 4.06 Mn |
| Oct 31, 2009 | 4.63 Mn |
API Access
Coda Octopus Accumulated Expenses 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=accumulated-expenses&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();