Pro Dex (PDEX) Total Non-Current Liabilities (2011 - 2026)
Pro Dex (PDEX) recorded Total Non-Current Liabilities of $13.89 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 39.9% from $9.93 million a year earlier but down 8.3% from the prior quarter.
Pro Dex (PDEX) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Pro Dex's Total Non-Current Liabilities history includes 37 quarters.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -0.1% (FY2021 to FY2026).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $9.93 million in FY2025 (+13.9%), $8.72 million in FY2024 (-17.4%), $10.56 million in FY2023 (-14.2%) and $12.3 million in FY2022 (-11.9%).
- Quarterly Total Non-Current Liabilities has ranged from $8.42 million in fiscal Q2 2026 to $15.14 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in six of the last eight quarters, with growth averaging 12.5%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 41.9% in fiscal Q3 2026, against a decline of 26.2% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $15.14 million (Q3 2026), $8.42 million (Q2 2026) and $9.18 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Pro Dex | 219.84 Mn | 186.63 Mn | 7.09 Mn | 13.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.89 Mn |
| Mar 31, 2026 | 15.14 Mn |
| Dec 31, 2025 | 8.42 Mn |
| Sep 30, 2025 | 9.18 Mn |
| Jun 30, 2025 | 9.93 Mn |
| Mar 31, 2025 | 10.67 Mn |
| Dec 31, 2024 | 11.41 Mn |
| Sep 30, 2024 | 12.15 Mn |
| Jun 30, 2024 | 8.72 Mn |
| Mar 31, 2024 | 9.19 Mn |
| Dec 31, 2023 | 9.65 Mn |
| Sep 30, 2023 | 10.11 Mn |
| Jun 30, 2023 | 10.56 Mn |
| Mar 31, 2023 | 10.99 Mn |
| Dec 31, 2022 | 11.44 Mn |
| Sep 30, 2022 | 11.88 Mn |
| Jun 30, 2022 | 12.30 Mn |
| Mar 31, 2022 | 13.89 Mn |
| Dec 31, 2021 | 14.14 Mn |
| Sep 30, 2021 | 14.27 Mn |
Pro Dex Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PDEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PDEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();