Coda Octopus (CODA) Tax Provisions (2017 - 2026)
Coda Octopus' Tax Provisions came in at $401,739 for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 54.1% from $260,764 a year earlier but down 7.8% from the prior quarter.
Coda Octopus (CODA) Tax Provisions (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Coda Octopus reported Tax Provisions of $1.84 million, up 111.3% year-over-year; for FY2025 (ended Oct 31, 2025), it was $1.38 million, up 43.2% from FY2024.
- Tax Provisions carries a five-year compound annual growth rate of 88.4% (FY2020 to FY2025).
- Going back by fiscal year, Tax Provisions was $965,292 in FY2024 (+224.9%), $297,079 in FY2023 (-64.3%), $831,114 in FY2022 (+172.1%) and $305,479 in FY2021 (+424.7%).
- The five-year range for quarterly Tax Provisions is -$118,096 (fiscal Q2 2022) to $908,139 (fiscal Q4 2021).
- Year-over-year, Tax Provisions increased in four of the last seven quarters, with growth averaging 32.7%.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q3 2024 (growth of 829.0%), and the weakest in fiscal Q3 2023 (a decline of 86.0%).
- Business Quant data shows CODA's Tax Provisions at $435,842 (Q2 2026), $256,050 (Q1 2026) and $742,790 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 407.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 493.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 63.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 342.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 115.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 247.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 184.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 74.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.58 Bn |
| 10 | Coda Octopus | 121.04 Mn | -5.21 Mn | 5.05 Mn | 401,739.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 401,739.00 |
| Apr 30, 2026 | 435,842.00 |
| Jan 31, 2026 | 256,050.00 |
| Oct 31, 2025 | 742,790.00 |
| Jul 31, 2025 | 260,764.00 |
| Apr 30, 2025 | 356,848.00 |
| Jan 31, 2025 | 21,885.00 |
| Oct 31, 2024 | 229,671.00 |
| Jul 31, 2024 | 356,588.00 |
| Apr 30, 2024 | 225,977.00 |
| Jan 31, 2024 | 153,056.00 |
| Oct 31, 2023 | 274,682.00 |
| Jul 31, 2023 | 38,386.00 |
| Apr 30, 2023 | 20,007.00 |
| Jan 31, 2023 | -35,996.00 |
| Oct 31, 2022 | 447,010.00 |
| Jul 31, 2022 | 274,800.00 |
| Apr 30, 2022 | -118,096.00 |
| Jan 31, 2022 | 227,400.00 |
| Oct 31, 2021 | 908,139.00 |
Coda Octopus Tax Provisions 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=tax-provisions&ticker=CODA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();