Pro Dex (PDEX) Total Debt (2009 - 2026)
Pro Dex's Total Debt was $32.92 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 24.2% from $26.52 million a year earlier but down 5.9% from the prior quarter.
Pro Dex (PDEX) Total Debt (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Total Debt at Pro Dex came in at $34.98 million, up 13.5% from FY2025.
- Total Debt has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 22.3% (FY2021 to FY2026).
- In earlier fiscal years, Total Debt was $30.83 million in FY2025 (+88.8%), $16.33 million in FY2024 (+28.2%), $12.74 million in FY2023 (-5.9%) and $13.54 million in FY2022 (+6.0%).
- Quarterly Total Debt has moved between $11.41 million (fiscal Q1 2024) and $37.04 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Total Debt has increased for three straight quarters, with growth averaging 59.2% over the last eight quarters.
- The best year-over-year quarter for Total Debt over five years was fiscal Q2 2022 (growth of 228.6%); the worst was fiscal Q2 2026 (a decline of 36.1%).
- Per Business Quant data, PDEX's Total Debt in the three fiscal quarters before Q1 2027 was $34.98 million (Q4 2026), $37.04 million (Q3 2026) and $20.98 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 41.37 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 31.16 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 26.48 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 14.93 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 11.95 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 598.80 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 12.58 Bn |
| 10 | Pro Dex | 210.33 Mn | 174.25 Mn | 6.86 Mn | 32.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 32.92 Mn |
| Jun 30, 2026 | 34.98 Mn |
| Mar 31, 2026 | 37.04 Mn |
| Dec 31, 2025 | 20.98 Mn |
| Sep 30, 2025 | 26.52 Mn |
| Jun 30, 2025 | 30.83 Mn |
| Mar 31, 2025 | 36.62 Mn |
| Dec 31, 2024 | 32.82 Mn |
| Sep 30, 2024 | 27.01 Mn |
| Jun 30, 2024 | 16.33 Mn |
| Mar 31, 2024 | 11.74 Mn |
| Dec 31, 2023 | 12.07 Mn |
| Sep 30, 2023 | 11.41 Mn |
| Jun 30, 2023 | 12.74 Mn |
| Mar 31, 2023 | 12.36 Mn |
| Dec 31, 2022 | 12.70 Mn |
| Sep 30, 2022 | 13.22 Mn |
| Jun 30, 2022 | 13.54 Mn |
| Mar 31, 2022 | 12.22 Mn |
| Dec 31, 2021 | 12.16 Mn |
Pro Dex Total Debt 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-debt&ticker=PDEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=PDEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();