Pro Dex (PDEX) Non Operating Interest Expenses (2010 - 2026)
Pro Dex (PDEX) posted Non Operating Interest Expenses of $270,000 for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 18.9% from $227,000 a year earlier and up 34.3% from the prior quarter.
Pro Dex (PDEX) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Pro Dex's Non Operating Interest Expenses came in at $812,000, down 2.1% from FY2025.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 18.2% (FY2021 to FY2026).
- In prior fiscal years, Pro Dex's Non Operating Interest Expenses was $829,000 in FY2025 (+48.6%), $558,000 in FY2024 (+4.7%), $533,000 in FY2023 (+14.9%) and $464,000 in FY2022 (+31.8%).
- The fiscal Q4 2026 figure stands as the highest quarterly Non Operating Interest Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Non Operating Interest Expenses increased in six of the last eight quarters, with growth averaging 24.1%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was fiscal Q1 2022, with growth of 122.2%; the weakest was fiscal Q2 2026, with a decline of 30.9%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior fiscal quarters was $201,000 (Q3 2026), $141,000 (Q2 2026) and $200,000 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 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 | 132.00 Mn |
| 10 | Pro Dex | 219.84 Mn | 186.63 Mn | 7.09 Mn | 270,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 270,000.00 |
| Mar 31, 2026 | 201,000.00 |
| Dec 31, 2025 | 141,000.00 |
| Sep 30, 2025 | 200,000.00 |
| Jun 30, 2025 | 227,000.00 |
| Mar 31, 2025 | 246,000.00 |
| Dec 31, 2024 | 204,000.00 |
| Sep 30, 2024 | 152,000.00 |
| Jun 30, 2024 | 149,000.00 |
| Mar 31, 2024 | 138,000.00 |
| Dec 31, 2023 | 139,000.00 |
| Sep 30, 2023 | 133,000.00 |
| Jun 30, 2023 | 144,000.00 |
| Mar 31, 2023 | 131,000.00 |
| Dec 31, 2022 | 128,000.00 |
| Sep 30, 2022 | 130,000.00 |
| Jun 30, 2022 | 115,000.00 |
| Mar 31, 2022 | 112,000.00 |
| Dec 31, 2021 | 117,000.00 |
| Sep 30, 2021 | 120,000.00 |
Pro Dex Non Operating Interest 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=non-operating-interest-expenses&ticker=PDEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=PDEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();