Coda Octopus (CODA) EBITDA (2010 - 2026)
Coda Octopus (CODA) reported EBITDA of $1.9 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 9.3% from $1.73 million a year earlier but down 10.4% from the prior quarter.
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Analysis
Coda Octopus (CODA) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Coda Octopus' EBITDA came in at $7.15 million, up 54.4% year-over-year; for FY2025 (ended Oct 31, 2025), it was $6.92 million, up 46.1% from FY2024.
- EBITDA has a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- By fiscal year, EBITDA came in at $4.73 million in FY2024 (+39.0%), $3.41 million in FY2023 (-40.7%), $5.74 million in FY2022 (+20.6%) and $4.76 million in FY2021 (+31.9%).
- Five-year quarterly EBITDA spans a low of -$178,251 in fiscal Q4 2023 and a high of $2.23 million in fiscal Q3 2022.
- Year over year, EBITDA has now increased in each of the last five quarters, with growth averaging 57.2% over the last seven quarters.
- The high point for year-over-year EBITDA in five years was fiscal Q4 2025 (growth of 268.9%); the low point was fiscal Q3 2023 (a decline of 53.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $2.12 million (Q2 2026), $1.38 million (Q1 2026) and $1.76 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 2.88 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 795.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 1.68 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 | 1.46 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 2.10 Bn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn | 1.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.90 Mn |
| Apr 30, 2026 | 2.12 Mn |
| Jan 31, 2026 | 1.38 Mn |
| Oct 31, 2025 | 1.76 Mn |
| Jul 31, 2025 | 1.73 Mn |
| Apr 30, 2025 | 1.42 Mn |
| Jan 31, 2025 | 995,427.00 |
| Oct 31, 2024 | 477,270.00 |
| Jul 31, 2024 | 1.59 Mn |
| Apr 30, 2024 | 1.54 Mn |
| Jan 31, 2024 | 745,922.00 |
| Oct 31, 2023 | -178,251.00 |
| Jul 31, 2023 | 1.04 Mn |
| Apr 30, 2023 | 1.03 Mn |
| Jan 31, 2023 | 1.51 Mn |
| Oct 31, 2022 | 1.16 Mn |
| Jul 31, 2022 | 2.23 Mn |
| Apr 30, 2022 | 763,687.00 |
| Jan 31, 2022 | 1.54 Mn |
| Oct 31, 2021 | 385,378.00 |
API Access
Coda Octopus EBITDA 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=ebitda&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();