Pro Dex (PDEX) Non-Current Assets (2009 - 2026)
Pro Dex's Non-Current Assets was $22.64 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 66.8% from $13.58 million a year earlier and up 6.5% from the prior quarter.
Pro Dex (PDEX) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Non-Current Assets at Pro Dex came in at $21.26 million, up 53.0% from FY2025.
- Non-Current Assets shows a five-year compound annual growth rate of 6.8% (FY2021 to FY2026).
- In earlier fiscal years, Non-Current Assets was $13.9 million in FY2025 (-12.4%), $15.87 million in FY2024 (-23.9%), $20.84 million in FY2023 (+16.3%) and $17.92 million in FY2022 (+17.1%).
- The fiscal Q1 2027 figure marks the highest quarterly Non-Current Assets in data going back to fiscal Q4 2011.
- Compared with a year earlier, Non-Current Assets has increased for three straight quarters, with growth averaging 16.2% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was fiscal Q1 2027 (growth of 66.8%); the worst was fiscal Q3 2024 (a decline of 29.0%).
- Per Business Quant data, PDEX's Non-Current Assets in the three fiscal quarters before Q1 2027 was $21.26 million (Q4 2026), $21.27 million (Q3 2026) and $13.07 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 88.62 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 84.75 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 78.49 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 10.92 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 33.06 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 37.30 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 6.90 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 27.53 Bn |
| 10 | Pro Dex | 210.33 Mn | 174.25 Mn | 6.86 Mn | 22.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 22.64 Mn |
| Jun 30, 2026 | 21.26 Mn |
| Mar 31, 2026 | 21.27 Mn |
| Dec 31, 2025 | 13.07 Mn |
| Sep 30, 2025 | 13.58 Mn |
| Jun 30, 2025 | 13.90 Mn |
| Mar 31, 2025 | 14.33 Mn |
| Dec 31, 2024 | 16.07 Mn |
| Sep 30, 2024 | 15.81 Mn |
| Jun 30, 2024 | 15.87 Mn |
| Mar 31, 2024 | 14.59 Mn |
| Dec 31, 2023 | 14.83 Mn |
| Sep 30, 2023 | 18.16 Mn |
| Jun 30, 2023 | 20.84 Mn |
| Mar 31, 2023 | 20.55 Mn |
| Dec 31, 2022 | 20.49 Mn |
| Sep 30, 2022 | 18.02 Mn |
| Jun 30, 2022 | 17.92 Mn |
| Mar 31, 2022 | 17.12 Mn |
| Dec 31, 2021 | 17.25 Mn |
Pro Dex Non-Current Assets 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-current-assets&ticker=PDEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-current-assets&ticker=PDEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();