Coda Octopus (CODA) EBIT (2010 - 2026)
Coda Octopus' EBIT was $1.53 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 11.1% from $1.38 million a year earlier but down 14.5% from the prior quarter.
Powered by 
Analysis
Coda Octopus (CODA) EBIT (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Coda Octopus' EBIT was $5.74 million through Jul 31, 2026, up 68.0% year-over-year; for FY2025 (ended Oct 31, 2025), it was $5.29 million, up 35.8% from FY2024.
- EBIT shows a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- In earlier fiscal years, EBIT was $3.9 million in FY2024 (+42.2%), $2.74 million in FY2023 (-45.3%), $5 million in FY2022 (+30.4%) and $3.84 million in FY2021 (+36.9%).
- Quarterly EBIT has moved between -$324,266 (fiscal Q4 2023) and $2.02 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, EBIT has increased for four straight quarters, with growth averaging 73.8% over the last seven quarters.
- The best year-over-year quarter for EBIT over five years was fiscal Q4 2025 (growth of 389.0%); the worst was fiscal Q2 2022 (a decline of 63.4%).
- Per Business Quant data, CODA's EBIT in the three fiscal quarters before Q3 2026 was $1.79 million (Q2 2026), $1.01 million (Q1 2026) and $1.41 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 301.54 Bn | 260.05 Bn | 5.02 Bn | -6.72 Bn |
| 2 | Rtx | 259.17 Bn | 227.44 Bn | 5.81 Bn | 3.34 Bn |
| 3 | Boeing | 150.28 Bn | 56.97 Bn | 2.41 Bn | 156.00 Mn |
| 4 | Lockheed Martin | 133.66 Bn | 120.39 Bn | 2.45 Bn | 2.48 Bn |
| 5 | General Dynamics | 93.64 Bn | 80.76 Bn | 2.18 Bn | 1.46 Bn |
| 6 | Motorola Solutions | 78.30 Bn | 74.65 Bn | 1.68 Bn | 809.00 Mn |
| 7 | Northrop Grumman | 78.05 Bn | 65.51 Bn | 2.35 Bn | 1.27 Bn |
| 8 | Howmet Aerospace | 77.57 Bn | 73.17 Bn | 951.00 Mn | 711.00 Mn |
| 9 | Honeywell International | 68.82 Bn | 20.95 Bn | 3.65 Bn | 1.79 Bn |
| 10 | Coda Octopus | 103.78 Mn | -17.69 Mn | 5.05 Mn | 1.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.53 Mn |
| Apr 30, 2026 | 1.79 Mn |
| Jan 31, 2026 | 1.01 Mn |
| Oct 31, 2025 | 1.41 Mn |
| Jul 31, 2025 | 1.38 Mn |
| Apr 30, 2025 | 1.09 Mn |
| Jan 31, 2025 | 662,022.00 |
| Oct 31, 2024 | 287,590.00 |
| Jul 31, 2024 | 1.39 Mn |
| Apr 30, 2024 | 1.35 Mn |
| Jan 31, 2024 | 555,384.00 |
| Oct 31, 2023 | -324,266.00 |
| Jul 31, 2023 | 862,614.00 |
| Apr 30, 2023 | 855,108.00 |
| Jan 31, 2023 | 1.35 Mn |
| Oct 31, 2022 | 1.13 Mn |
| Jul 31, 2022 | 2.02 Mn |
| Apr 30, 2022 | 481,212.00 |
| Jan 31, 2022 | 1.38 Mn |
| Oct 31, 2021 | 288,814.00 |
API Access
Coda Octopus EBIT 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=ebit&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();