Coda Octopus (CODA) Operating Leases (2024 - 2026)
Coda Octopus (CODA) reported Operating Leases of $343,222 for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 5.8% from $364,443 a year earlier and down 0.8% from the prior quarter.
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Analysis
Coda Octopus (CODA) Operating Leases (2024 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Coda Octopus posted Operating Leases of $360,070, down 5.5% from FY2024.
- By fiscal year, Operating Leases came in at $380,873 in FY2024.
- The fiscal Q3 2026 figure ranks as the lowest quarterly Operating Leases in data going back to fiscal Q4 2024.
- Year over year, Operating Leases gained in two of the last four quarters, with an average decline of 3.6%.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $346,146 (Q2 2026), $364,893 (Q1 2026) and $420,168 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 343,222.00 |
| Apr 30, 2026 | 346,146.00 |
| Jan 31, 2026 | 364,893.00 |
| Oct 31, 2025 | 420,167.80 |
| Jul 31, 2025 | 364,443.00 |
| Apr 30, 2025 | 385,819.00 |
| Jan 31, 2025 | 359,940.00 |
| Oct 31, 2024 | 419,055.38 |
API Access
Coda Octopus Operating Leases 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=operating-leases&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();