Pro Dex (PDEX) Operating Expenses (2010 - 2026)
Pro Dex (PDEX) reported Operating Expenses of $3.56 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 65.9% from $2.15 million a year earlier and up 17.2% from the prior quarter.
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Analysis
Pro Dex (PDEX) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Pro Dex posted Operating Expenses of $11.34 million, up 28.6% from FY2025.
- Operating Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 4.6% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $8.82 million in FY2025 (+19.6%), $7.38 million in FY2024 (+5.6%), $6.99 million in FY2023 (-12.8%) and $8.01 million in FY2022 (-11.5%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- Year over year, Operating Expenses has now increased in each of the last eight quarters, with growth averaging 24.4% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2026 (growth of 65.9%); the low point was fiscal Q3 2022 (a decline of 27.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $3.04 million (Q3 2026), $2.48 million (Q2 2026) and $2.26 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Pro Dex | 219.84 Mn | 186.63 Mn | 7.09 Mn | 3.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.56 Mn |
| Mar 31, 2026 | 3.04 Mn |
| Dec 31, 2025 | 2.48 Mn |
| Sep 30, 2025 | 2.26 Mn |
| Jun 30, 2025 | 2.15 Mn |
| Mar 31, 2025 | 2.16 Mn |
| Dec 31, 2024 | 2.38 Mn |
| Sep 30, 2024 | 2.14 Mn |
| Jun 30, 2024 | 1.74 Mn |
| Mar 31, 2024 | 1.79 Mn |
| Dec 31, 2023 | 2.03 Mn |
| Sep 30, 2023 | 1.83 Mn |
| Jun 30, 2023 | 1.75 Mn |
| Mar 31, 2023 | 1.75 Mn |
| Dec 31, 2022 | 1.49 Mn |
| Sep 30, 2022 | 2.01 Mn |
| Jun 30, 2022 | 2.26 Mn |
| Mar 31, 2022 | 1.84 Mn |
| Dec 31, 2021 | 1.80 Mn |
| Sep 30, 2021 | 2.11 Mn |
API Access
Pro Dex Operating Expenses 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-expenses&ticker=PDEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PDEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();