Coda Octopus (CODA) Depreciation and Depletion (2023 - 2026)
Coda Octopus (CODA) posted Depreciation and Depletion of $227,701 for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 1.9% from $232,036 a year earlier but up 12.6% from the prior quarter.
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Analysis
Coda Octopus (CODA) Depreciation and Depletion (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Depreciation and Depletion at Coda Octopus was $877,656, up 5.4% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $861,292, up 21.3% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- In prior fiscal years, Coda Octopus' Depreciation and Depletion was $710,059 in FY2024 (+17.7%), $603,467 in FY2023 (-11.1%), $678,652 in FY2022 (-22.3%) and $873,694 in FY2021 (+15.2%).
- Quarterly Depreciation and Depletion has run from a low of $129,479 in fiscal Q4 2023 to a high of $232,036 in fiscal Q3 2025 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in six of the last eight quarters, with growth averaging 15.9%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was fiscal Q4 2024, with growth of 36.0%; the weakest was fiscal Q2 2026, with a decline of 7.7%.
- According to Business Quant data, Depreciation and Depletion for the three prior fiscal quarters was $202,184 (Q2 2026), $229,280 (Q1 2026) and $218,491 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 175.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 53.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 156.00 Mn |
| 10 | Coda Octopus | 125.67 Mn | -587,533.41 | 5.05 Mn | 227,701.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 227,701.00 |
| Apr 30, 2026 | 202,184.00 |
| Jan 31, 2026 | 229,280.00 |
| Oct 31, 2025 | 218,491.00 |
| Jul 31, 2025 | 232,036.00 |
| Apr 30, 2025 | 219,092.00 |
| Jan 31, 2025 | 205,646.00 |
| Oct 31, 2024 | 176,091.00 |
| Jul 31, 2024 | 187,982.00 |
| Apr 30, 2024 | 177,490.00 |
| Jan 31, 2024 | 173,292.00 |
| Oct 31, 2023 | 129,479.00 |
| Jul 31, 2023 | 165,211.00 |
| Apr 30, 2023 | 178,763.00 |
| Jan 31, 2023 | 148,565.00 |
API Access
Coda Octopus Depreciation and Depletion 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=depreciation-and-depletion&ticker=CODA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=CODA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();