Coda Octopus (CODA) Total Liabilities (2009 - 2026)
Coda Octopus' Total Liabilities came in at $6.12 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 31.9% from $4.64 million a year earlier and up 3.3% from the prior quarter.
Powered by 
Analysis
Coda Octopus (CODA) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Coda Octopus' Total Liabilities was $7.44 million, up 55.0% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $4.8 million in FY2024 (+40.7%), $3.41 million in FY2023 (-3.7%), $3.54 million in FY2022 (-19.7%) and $4.42 million in FY2021 (+21.2%).
- The five-year range for quarterly Total Liabilities is $2.13 million (fiscal Q3 2023) to $7.44 million (fiscal Q4 2025).
- Year-over-year, Total Liabilities has increased for ten consecutive quarters, with growth averaging 42.2% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2025 (growth of 60.4%), and the weakest in fiscal Q3 2023 (a decline of 51.7%).
- Business Quant data shows CODA's Total Liabilities at $5.92 million (Q2 2026), $5.44 million (Q1 2026) and $7.44 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn | 6.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.12 Mn |
| Apr 30, 2026 | 5.92 Mn |
| Jan 31, 2026 | 5.44 Mn |
| Oct 31, 2025 | 7.44 Mn |
| Jul 31, 2025 | 4.64 Mn |
| Apr 30, 2025 | 4.70 Mn |
| Jan 31, 2025 | 3.78 Mn |
| Oct 31, 2024 | 4.86 Mn |
| Jul 31, 2024 | 3.14 Mn |
| Apr 30, 2024 | 2.93 Mn |
| Jan 31, 2024 | 2.86 Mn |
| Oct 31, 2023 | 3.41 Mn |
| Jul 31, 2023 | 2.13 Mn |
| Apr 30, 2023 | 2.59 Mn |
| Jan 31, 2023 | 3.93 Mn |
| Oct 31, 2022 | 3.54 Mn |
| Jul 31, 2022 | 4.41 Mn |
| Apr 30, 2022 | 3.32 Mn |
| Jan 31, 2022 | 2.57 Mn |
| Oct 31, 2021 | 4.42 Mn |
API Access
Coda Octopus Total Liabilities 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=total-liabilities&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();