Pro Dex (PDEX) Total Current Liabilities (2009 - 2026)
Pro Dex (PDEX) reported Total Current Liabilities of $12.88 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 5.3% from $13.6 million a year earlier and down 0.8% from the prior quarter.
Pro Dex (PDEX) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Pro Dex posted Total Current Liabilities of $12.98 million, down 11.3% from FY2025.
- Total Current Liabilities has a five-year compound annual growth rate of 15.7% (FY2021 to FY2026).
- By fiscal year, Total Current Liabilities came in at $14.63 million in FY2025 (+13.5%), $12.89 million in FY2024 (+33.2%), $9.68 million in FY2023 (-14.8%) and $11.35 million in FY2022 (+81.1%).
- Five-year quarterly Total Current Liabilities spans a low of $5.97 million in fiscal Q2 2022 and a high of $18.32 million in fiscal Q3 2025.
- Year over year, Total Current Liabilities has now declined in each of the last four quarters, with growth averaging 14.5% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q2 2023 (growth of 95.4%); the low point was fiscal Q1 2024 (a decline of 29.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $12.98 million (Q4 2026), $14.64 million (Q3 2026) and $12.2 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 9.05 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 3.13 Bn |
| 10 | Pro Dex | 210.33 Mn | 174.25 Mn | 6.86 Mn | 12.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.88 Mn |
| Jun 30, 2026 | 12.98 Mn |
| Mar 31, 2026 | 14.64 Mn |
| Dec 31, 2025 | 12.20 Mn |
| Sep 30, 2025 | 13.60 Mn |
| Jun 30, 2025 | 14.63 Mn |
| Mar 31, 2025 | 18.32 Mn |
| Dec 31, 2024 | 17.14 Mn |
| Sep 30, 2024 | 11.29 Mn |
| Jun 30, 2024 | 12.89 Mn |
| Mar 31, 2024 | 10.42 Mn |
| Dec 31, 2023 | 9.99 Mn |
| Sep 30, 2023 | 8.28 Mn |
| Jun 30, 2023 | 9.68 Mn |
| Mar 31, 2023 | 10.14 Mn |
| Dec 31, 2022 | 11.67 Mn |
| Sep 30, 2022 | 11.67 Mn |
| Jun 30, 2022 | 11.35 Mn |
| Mar 31, 2022 | 7.72 Mn |
| Dec 31, 2021 | 5.97 Mn |
Pro Dex Total 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-current-liabilities&ticker=PDEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=PDEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();