Pro Dex (PDEX) Depreciation and Depletion (2023 - 2025)
Pro Dex (PDEX) recorded Depreciation and Depletion of $1.2 million in FY2026 (year ended Jun 30, 2026), up 9.1% from $1.1 million in FY2025.
Powered by 
Analysis
Pro Dex (PDEX) Depreciation and Depletion (2023 - 2025) Analysis & Trends
Starting with FY2015, Pro Dex's Depreciation and Depletion history includes 10 fiscal years.
- Annual Depreciation and Depletion has increased for six straight fiscal years, with a five-year compound annual growth rate of 14.5% (FY2021 to FY2026).
- The FY2026 figure is the highest annual Depreciation and Depletion in data going back to FY2015.
- Per Business Quant data, PDEX's Depreciation and Depletion was $1.1 million in FY2025 (+10.0%), $1 million in FY2024 (+37.6%), $727,000 in FY2023 (+18.0%) and $616,000 in FY2022 (+1.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 122.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Pro Dex | 219.84 Mn | 186.63 Mn | 7.09 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 1.03 Mn |
| Mar 31, 2025 | 23,000.00 |
| Jun 30, 2024 | 930,000.00 |
| Mar 31, 2024 | 23,000.00 |
| Jun 30, 2023 | 657,000.00 |
| Mar 31, 2023 | 23,000.00 |
API Access
Pro Dex 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=PDEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "PDEX", "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=PDEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();