Coda Octopus (CODA) Net Cash Flow (2010 - 2026)
Coda Octopus' Net Cash Flow was $1.2 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 24.4% from $1.59 million a year earlier but up 106.3% from the prior quarter.
Coda Octopus (CODA) Net Cash Flow (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Coda Octopus' Net Cash Flow was $5.69 million through Jul 31, 2026, up 591.5% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $7.02 million.
- Net Cash Flow shows a five-year compound annual growth rate of 14.3% (FY2020 to FY2025).
- In earlier fiscal years, Net Cash Flow was -$2.16 million in FY2024, $851,138 in FY2023 (-86.0%), $6.08 million in FY2022 (+148.6%) and $2.44 million in FY2021 (-32.1%).
- Quarterly Net Cash Flow has moved between -$2.66 million (fiscal Q4 2024) and $2.53 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Net Cash Flow was higher in three of the last five quarters, with growth averaging 32.6%.
- The best year-over-year quarter for Net Cash Flow over five years was fiscal Q2 2022 (growth of 425.2%); the worst was fiscal Q1 2024 (a decline of 66.4%).
- Per Business Quant data, CODA's Net Cash Flow in the three fiscal quarters before Q3 2026 was $582,762 (Q2 2026), $1.37 million (Q1 2026) and $2.53 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | -1.36 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.53 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | -2.20 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 1.90 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | -1.87 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 682.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | -156.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 217.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | -3.17 Bn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn | 1.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.20 Mn |
| Apr 30, 2026 | 582,762.00 |
| Jan 31, 2026 | 1.37 Mn |
| Oct 31, 2025 | 2.53 Mn |
| Jul 31, 2025 | 1.59 Mn |
| Apr 30, 2025 | 1.39 Mn |
| Jan 31, 2025 | 506,366.00 |
| Oct 31, 2024 | -2.66 Mn |
| Jul 31, 2024 | 1.54 Mn |
| Apr 30, 2024 | -1.15 Mn |
| Jan 31, 2024 | 295,739.00 |
| Oct 31, 2023 | -6,187.00 |
| Jul 31, 2023 | 1.35 Mn |
| Apr 30, 2023 | -1.36 Mn |
| Jan 31, 2023 | 878,979.00 |
| Oct 31, 2022 | 1.06 Mn |
| Jul 31, 2022 | 1.52 Mn |
| Apr 30, 2022 | 1.11 Mn |
| Jan 31, 2022 | 2.40 Mn |
| Oct 31, 2021 | -617,083.00 |
Coda Octopus Net Cash Flow 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=net-cash-flow&ticker=CODA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();