Coda Octopus (CODA) Revenue (2010 - 2026)
Coda Octopus (CODA) recorded Revenue of $7.72 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 9.2% from $7.06 million a year earlier and up 11.8% from the prior quarter.
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Analysis
Coda Octopus (CODA) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Coda Octopus' Revenue came in at $28.6 million as of Jul 31, 2026, up 17.5% year-over-year; for FY2025 (ended Oct 31, 2025), it was $26.56 million, up 30.7% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- Across earlier fiscal years, Revenue came in at $20.32 million in FY2024 (+5.0%), $19.35 million in FY2023 (-12.9%), $22.23 million in FY2022 (+4.2%) and $21.33 million in FY2021 (+6.4%).
- The fiscal Q3 2026 figure is the highest quarterly Revenue in data going back to fiscal Q1 2010.
- On a year-over-year basis, Revenue rose in seven of the last eight quarters, with growth averaging 25.0%.
- Peak year-over-year performance for Revenue in the last five years was growth of 43.8% in fiscal Q4 2025, against a decline of 30.6% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $6.9 million (Q2 2026), $6.71 million (Q1 2026) and $7.27 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 13.35 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 24.71 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 24.56 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 20.06 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 2.55 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 14.09 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 3.13 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 10.88 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 9.72 Bn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn | 7.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 7.72 Mn |
| Apr 30, 2026 | 6.90 Mn |
| Jan 31, 2026 | 6.71 Mn |
| Oct 31, 2025 | 7.27 Mn |
| Jul 31, 2025 | 7.06 Mn |
| Apr 30, 2025 | 7.02 Mn |
| Jan 31, 2025 | 5.21 Mn |
| Oct 31, 2024 | 5.06 Mn |
| Jul 31, 2024 | 5.48 Mn |
| Apr 30, 2024 | 5.32 Mn |
| Jan 31, 2024 | 4.46 Mn |
| Oct 31, 2023 | 3.56 Mn |
| Jul 31, 2023 | 4.89 Mn |
| Apr 30, 2023 | 5.30 Mn |
| Jan 31, 2023 | 5.60 Mn |
| Oct 31, 2022 | 5.14 Mn |
| Jul 31, 2022 | 6.27 Mn |
| Apr 30, 2022 | 4.98 Mn |
| Jan 31, 2022 | 5.84 Mn |
| Oct 31, 2021 | 5.08 Mn |
API Access
Coda Octopus Revenue 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=revenue&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();