Coda Octopus (CODA) Cost of Revenue (2010 - 2026)
Coda Octopus (CODA) reported Cost of Revenue of $2.67 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 19.0% from $2.24 million a year earlier and up 14.7% from the prior quarter.
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Analysis
Coda Octopus (CODA) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Coda Octopus' Cost of Revenue came in at $9.69 million, up 16.8% year-over-year; for FY2025 (ended Oct 31, 2025), it was $8.9 million, up 44.9% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- By fiscal year, Cost of Revenue came in at $6.14 million in FY2024 (-2.8%), $6.32 million in FY2023 (-10.2%), $7.04 million in FY2022 (+7.2%) and $6.56 million in FY2021 (-10.3%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Cost of Revenue in data going back to fiscal Q1 2010.
- Year over year, Cost of Revenue gained in seven of the last eight quarters, with growth averaging 32.6%.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q2 2025 (growth of 59.0%); the low point was fiscal Q1 2024 (a decline of 25.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $2.33 million (Q2 2026), $2.34 million (Q1 2026) and $2.36 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.67 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 19.58 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 22.15 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 17.62 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 11.91 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.46 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 8.76 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 6.07 Bn |
| 10 | Coda Octopus | 125.67 Mn | -587,533.41 | 5.05 Mn | 2.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.67 Mn |
| Apr 30, 2026 | 2.33 Mn |
| Jan 31, 2026 | 2.34 Mn |
| Oct 31, 2025 | 2.36 Mn |
| Jul 31, 2025 | 2.24 Mn |
| Apr 30, 2025 | 2.52 Mn |
| Jan 31, 2025 | 1.78 Mn |
| Oct 31, 2024 | 1.76 Mn |
| Jul 31, 2024 | 1.43 Mn |
| Apr 30, 2024 | 1.58 Mn |
| Jan 31, 2024 | 1.37 Mn |
| Oct 31, 2023 | 1.27 Mn |
| Jul 31, 2023 | 1.53 Mn |
| Apr 30, 2023 | 1.68 Mn |
| Jan 31, 2023 | 1.84 Mn |
| Oct 31, 2022 | 1.70 Mn |
| Jul 31, 2022 | 1.70 Mn |
| Apr 30, 2022 | 1.95 Mn |
| Jan 31, 2022 | 1.68 Mn |
| Oct 31, 2021 | 1.59 Mn |
API Access
Coda Octopus Cost of 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=cost-of-revenue&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();