Coda Octopus (CODA) Accounts Payables (2009 - 2026)
Coda Octopus (CODA) recorded Accounts Payables of $2.58 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 53.1% from $1.68 million a year earlier and up 35.4% from the prior quarter.
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Analysis
Coda Octopus (CODA) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Coda Octopus reported Accounts Payables of $2.48 million, up 54.3% from FY2024.
- Annual Accounts Payables has a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- Across earlier fiscal years, Accounts Payables came in at $1.6 million in FY2024 (+61.2%), $995,630 in FY2023 (-42.5%), $1.73 million in FY2022 (+19.0%) and $1.45 million in FY2021 (+13.3%).
- Quarterly Accounts Payables has ranged from $776,185 in fiscal Q2 2023 to $2.89 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Accounts Payables has increased for ten consecutive quarters, with growth averaging 50.5% over the last eight quarters.
- Peak year-over-year performance for Accounts Payables in the last five years was growth of 106.9% in fiscal Q1 2026, against a decline of 42.5% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.9 million (Q2 2026), $2.54 million (Q1 2026) and $2.89 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 10.82 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 17.00 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 14.35 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 4.92 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 1.15 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 2.87 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 2.90 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 6.39 Bn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn | 2.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.58 Mn |
| Apr 30, 2026 | 1.90 Mn |
| Jan 31, 2026 | 2.54 Mn |
| Oct 31, 2025 | 2.89 Mn |
| Jul 31, 2025 | 1.68 Mn |
| Apr 30, 2025 | 1.45 Mn |
| Jan 31, 2025 | 1.23 Mn |
| Oct 31, 2024 | 1.77 Mn |
| Jul 31, 2024 | 1.19 Mn |
| Apr 30, 2024 | 1.21 Mn |
| Jan 31, 2024 | 1.11 Mn |
| Oct 31, 2023 | 995,630.00 |
| Jul 31, 2023 | 1.13 Mn |
| Apr 30, 2023 | 776,185.00 |
| Jan 31, 2023 | 1.61 Mn |
| Oct 31, 2022 | 1.73 Mn |
| Jul 31, 2022 | 1.42 Mn |
| Apr 30, 2022 | 1.23 Mn |
| Jan 31, 2022 | 805,573.00 |
| Oct 31, 2021 | 1.45 Mn |
API Access
Coda Octopus Accounts Payables 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=accounts-payables&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();