Pro Dex (PDEX) Cost of Revenue (2009 - 2026)
Pro Dex's Cost of Revenue was $13.7 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 4.1% from $13.16 million a year earlier and up 2.9% from the prior quarter.
Pro Dex (PDEX) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pro Dex's Cost of Revenue was $53.75 million through Sep 30, 2026, up 6.4% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $53.21 million, up 13.0% from FY2025.
- Cost of Revenue has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 16.8% (FY2021 to FY2026).
- In earlier fiscal years, Cost of Revenue was $47.08 million in FY2025 (+19.8%), $39.29 million in FY2024 (+17.9%), $33.34 million in FY2023 (+15.3%) and $28.91 million in FY2022 (+18.2%).
- Quarterly Cost of Revenue has moved between $6.41 million (fiscal Q3 2022) and $14 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Cost of Revenue was higher in seven of the last eight quarters, with growth averaging 15.5%.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q4 2024 (growth of 50.2%); the worst was fiscal Q4 2023 (a decline of 20.6%).
- Per Business Quant data, PDEX's Cost of Revenue in the three fiscal quarters before Q1 2027 was $13.31 million (Q4 2026), $13.82 million (Q3 2026) and $12.92 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 7.01 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 5.63 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 2.72 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 964.40 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 2.27 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 1.71 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 369.20 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 5.93 Bn |
| 10 | Pro Dex | 210.33 Mn | 174.25 Mn | 6.86 Mn | 13.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.70 Mn |
| Jun 30, 2026 | 13.31 Mn |
| Mar 31, 2026 | 13.82 Mn |
| Dec 31, 2025 | 12.92 Mn |
| Sep 30, 2025 | 13.16 Mn |
| Jun 30, 2025 | 14.00 Mn |
| Mar 31, 2025 | 11.62 Mn |
| Dec 31, 2024 | 11.72 Mn |
| Sep 30, 2024 | 9.74 Mn |
| Jun 30, 2024 | 10.94 Mn |
| Mar 31, 2024 | 10.29 Mn |
| Dec 31, 2023 | 9.79 Mn |
| Sep 30, 2023 | 8.28 Mn |
| Jun 30, 2023 | 7.28 Mn |
| Mar 31, 2023 | 9.27 Mn |
| Dec 31, 2022 | 8.66 Mn |
| Sep 30, 2022 | 8.13 Mn |
| Jun 30, 2022 | 9.17 Mn |
| Mar 31, 2022 | 6.41 Mn |
| Dec 31, 2021 | 6.77 Mn |
Pro Dex Cost of Revenue 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=cost-of-revenue&ticker=PDEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PDEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();