Pro Dex (PDEX) Accumulated Expenses (2009 - 2026)
Pro Dex's Accumulated Expenses was $3.22 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), down 21.9% from $4.13 million a year earlier and down 26.2% from the prior quarter.
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Analysis
Pro Dex (PDEX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Accumulated Expenses at Pro Dex came in at $4.37 million, up 25.5% from FY2025.
- Accumulated Expenses has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 14.7% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $3.48 million in FY2025 (+3.6%), $3.36 million in FY2024 (+7.1%), $3.14 million in FY2023 (+14.0%) and $2.75 million in FY2022 (+25.2%).
- The fiscal Q1 2027 figure marks the lowest quarterly Accumulated Expenses since fiscal Q3 2024.
- Compared with a year earlier, Accumulated Expenses was higher in six of the last eight quarters, with growth averaging 16.0%.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q2 2025 (growth of 83.9%); the worst was fiscal Q1 2027 (a decline of 21.9%).
- Per Business Quant data, PDEX's Accumulated Expenses in the three fiscal quarters before Q1 2027 was $4.37 million (Q4 2026), $4.32 million (Q3 2026) and $4.26 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | Pro Dex | 210.33 Mn | 174.25 Mn | 6.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.22 Mn |
| Jun 30, 2026 | 4.37 Mn |
| Mar 31, 2026 | 4.32 Mn |
| Dec 31, 2025 | 4.26 Mn |
| Sep 30, 2025 | 4.13 Mn |
| Jun 30, 2025 | 3.48 Mn |
| Mar 31, 2025 | 3.54 Mn |
| Dec 31, 2024 | 5.23 Mn |
| Sep 30, 2024 | 4.02 Mn |
| Jun 30, 2024 | 3.36 Mn |
| Mar 31, 2024 | 2.70 Mn |
| Dec 31, 2023 | 2.85 Mn |
| Sep 30, 2023 | 2.70 Mn |
| Jun 30, 2023 | 3.14 Mn |
| Mar 31, 2023 | 2.43 Mn |
| Dec 31, 2022 | 3.31 Mn |
| Sep 30, 2022 | 3.25 Mn |
| Jun 30, 2022 | 2.75 Mn |
| Mar 31, 2022 | 1.65 Mn |
| Dec 31, 2021 | 1.81 Mn |
API Access
Pro Dex Accumulated Expenses 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=accumulated-expenses&ticker=PDEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PDEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();