Coda Octopus (CODA) Change in Accured Expenses (2010 - 2026)
Coda Octopus' Change in Accured Expenses was -$121,712 in fiscal Q3 2026 (quarter ended Jul 31, 2026), compared with $431,083 a year earlier.
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Analysis
Coda Octopus (CODA) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Coda Octopus' Change in Accured Expenses was $68,215 through Jul 31, 2026; for FY2025 (ended Oct 31, 2025), it was $957,310, up 921.8% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of 121.1% (FY2020 to FY2025).
- In earlier fiscal years, Change in Accured Expenses was $93,685 in FY2024, -$613,239 in FY2023, $533,996 in FY2022 (+63.4%) and $326,761 in FY2021.
- Quarterly Change in Accured Expenses has moved between -$1.57 million (fiscal Q2 2023) and $895,046 (fiscal Q4 2025) over five years.
- Per Business Quant data, CODA's Change in Accured Expenses in the three fiscal quarters before Q3 2026 was -$224,464 (Q2 2026), -$480,655 (Q1 2026) and $895,046 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 2.10 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 190.00 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 | 41.00 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 | 82.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | -34.00 Mn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 895.00 Mn |
| 10 | Coda Octopus | 125.67 Mn | -587,533.41 | 5.05 Mn | -121,712.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -121,712.00 |
| Apr 30, 2026 | -224,464.00 |
| Jan 31, 2026 | -480,655.00 |
| Oct 31, 2025 | 895,046.00 |
| Jul 31, 2025 | 431,083.00 |
| Apr 30, 2025 | -82,384.00 |
| Jan 31, 2025 | -286,435.00 |
| Oct 31, 2024 | -96,160.00 |
| Jul 31, 2024 | 56,483.00 |
| Apr 30, 2024 | 150,867.00 |
| Jan 31, 2024 | -17,505.00 |
| Oct 31, 2023 | 650,287.00 |
| Jul 31, 2023 | -136,076.00 |
| Apr 30, 2023 | -1.57 Mn |
| Jan 31, 2023 | 446,526.00 |
| Oct 31, 2022 | 293,434.00 |
| Jul 31, 2022 | 518,623.00 |
| Apr 30, 2022 | 769,078.00 |
| Jan 31, 2022 | -1.05 Mn |
| Oct 31, 2021 | 706,313.00 |
API Access
Coda Octopus Change in Accured 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=change-in-accured-expenses&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();