Coda Octopus (CODA) EPS (Diluted) (2016 - 2026)
Coda Octopus (CODA) recorded EPS (Diluted) of $0.12 in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 8.4% from $0.11 a year earlier but down 18.2% from the prior quarter.
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Analysis
Coda Octopus (CODA) EPS (Diluted) (2016 - 2026) Analysis & Trends
On a TTM basis, Coda Octopus' EPS (Diluted) came in at $0.45 as of Jul 31, 2026, up 47.1% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $0.43, up 22.0% from FY2024.
- Annual EPS (Diluted) has a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- Across earlier fiscal years, EPS (Diluted) came in at $0.35 in FY2024 (+27.3%), $0.28 in FY2023 (-27.6%), $0.38 in FY2022 (-12.8%) and $0.44 in FY2021 (+47.8%).
- Quarterly EPS (Diluted) has ranged from -$0.03 in fiscal Q4 2023 to $0.16 in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, EPS (Diluted) has increased for five consecutive quarters, with growth averaging 46.0% over the last seven quarters.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 685.1% in fiscal Q4 2022, against a decline of 92.8% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $0.15 (Q2 2026), $0.08 (Q1 2026) and $0.09 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 2.26 |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.57 |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | -0.67 |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 7.94 |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 1.33 |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 4.24 |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 3.33 |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 7.68 |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 17.83 |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn | 0.12 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 0.12 |
| Apr 30, 2026 | 0.15 |
| Jan 31, 2026 | 0.08 |
| Oct 31, 2025 | 0.09 |
| Jul 31, 2025 | 0.11 |
| Apr 30, 2025 | 0.08 |
| Jan 31, 2025 | 0.08 |
| Oct 31, 2024 | 0.03 |
| Jul 31, 2024 | 0.11 |
| Apr 30, 2024 | 0.13 |
| Jan 31, 2024 | 0.06 |
| Oct 31, 2023 | -0.03 |
| Jul 31, 2023 | 0.09 |
| Apr 30, 2023 | 0.09 |
| Jan 31, 2023 | 0.12 |
| Oct 31, 2022 | 0.06 |
| Jul 31, 2022 | 0.16 |
| Apr 30, 2022 | 0.05 |
| Jan 31, 2022 | 0.11 |
| Oct 31, 2021 | 0.01 |
API Access
Coda Octopus EPS (Diluted) 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=eps-diluted&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();