Picard Medical (PMI) Receivables (2024 - 2026)
Picard Medical (PMI) posted Receivables of $614,000 for Q2 2026, down 52.8% from $1.3 million a year earlier but up 3.0% from the prior quarter.
Analysis
Picard Medical (PMI) Receivables (2024 - 2026) Analysis & Trends
At the end of FY2025, Picard Medical's Receivables came in at $757,000, up 47.6% from FY2024.
- In prior years, Picard Medical's Receivables was $513,000 in FY2024.
- Quarterly Receivables has run from a low of $179,000 in Q4 2025 to a high of $1.3 million in Q2 2025 over five years.
- According to Business Quant data, Receivables for the three prior quarters was $596,000 (Q1 2026), $179,000 (Q4 2025) and $1.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 955.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 2.36 Bn |
| 10 | Picard Medical | 9.29 Mn | 9.29 Mn | 616,000.00 | 614,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 614,000.00 |
| Mar 31, 2026 | 596,000.00 |
| Dec 31, 2025 | 179,000.00 |
| Sep 30, 2025 | 1.16 Mn |
| Jun 30, 2025 | 1.30 Mn |
| Dec 31, 2024 | 249,000.00 |
API Access
Picard Medical Receivables 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=receivables&ticker=PMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "PMI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=PMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();