Pro Dex (PDEX) Total Liabilities (2011 - 2026)
Pro Dex's Total Liabilities was $26.88 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 9.4% from $24.56 million a year earlier but down 9.7% from the prior quarter.
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Analysis
Pro Dex (PDEX) Total Liabilities (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Pro Dex has reported Total Liabilities for 40 quarters.
- Total Liabilities has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 7.0% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $24.56 million in FY2025 (+13.7%), $21.61 million in FY2024 (+6.8%), $20.23 million in FY2023 (-14.5%) and $23.66 million in FY2022 (+23.3%).
- Quarterly Total Liabilities has moved between $18.39 million (fiscal Q1 2024) and $51.88 million (fiscal Q2 2023) over five years.
- Compared with a year earlier, Total Liabilities was higher in six of the last eight quarters, with growth averaging 14.5%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2023 (growth of 143.2%); the worst was fiscal Q2 2024 (a decline of 62.1%).
- Per Business Quant data, PDEX's Total Liabilities in the three fiscal quarters before Q4 2026 was $29.78 million (Q3 2026), $20.64 million (Q2 2026) and $22.79 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Pro Dex | 219.84 Mn | 186.63 Mn | 7.09 Mn | 26.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.88 Mn |
| Mar 31, 2026 | 29.78 Mn |
| Dec 31, 2025 | 20.64 Mn |
| Sep 30, 2025 | 22.79 Mn |
| Jun 30, 2025 | 24.56 Mn |
| Mar 31, 2025 | 28.99 Mn |
| Dec 31, 2024 | 28.55 Mn |
| Sep 30, 2024 | 23.43 Mn |
| Jun 30, 2024 | 21.61 Mn |
| Mar 31, 2024 | 19.61 Mn |
| Dec 31, 2023 | 19.64 Mn |
| Sep 30, 2023 | 18.39 Mn |
| Jun 30, 2023 | 20.23 Mn |
| Mar 31, 2023 | 21.79 Mn |
| Dec 31, 2022 | 51.88 Mn |
| Sep 30, 2022 | 23.55 Mn |
| Jun 30, 2022 | 23.66 Mn |
| Mar 31, 2022 | 22.94 Mn |
| Dec 31, 2021 | 21.33 Mn |
| Sep 30, 2021 | 21.54 Mn |
API Access
Pro Dex Total 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-liabilities&ticker=PDEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=PDEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();