Positron (POSC) Receivables (2010 - 2026)
Positron (POSC) posted Receivables of $17,561 for Q2 2026.
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Analysis
Positron (POSC) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Positron's Receivables came in at $8,333, down 50.0% from FY2024.
- In prior years, Positron's Receivables was $16,667 in FY2024.
- The Q2 2026 figure stands as the highest quarterly Receivables since Q4 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 1.72 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Positron | 53.54 Mn | 46.26 Mn | -264,910.00 | 17,561.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17,561.00 |
| Dec 31, 2025 | 8,333.00 |
| Dec 31, 2024 | 16,667.00 |
| Sep 30, 2015 | 147,000.00 |
| Jun 30, 2015 | 170,000.00 |
| Mar 31, 2015 | 164,000.00 |
| Dec 31, 2014 | 175,000.00 |
| Sep 30, 2014 | -393,000.00 |
| Jun 30, 2014 | -451,000.00 |
| Mar 31, 2014 | -622,000.00 |
| Dec 31, 2013 | -788,000.00 |
| Sep 30, 2013 | 213,000.00 |
| Jun 30, 2013 | 341,000.00 |
| Mar 31, 2013 | 292,000.00 |
| Dec 31, 2012 | 273,000.00 |
| Sep 30, 2012 | 235,000.00 |
| Jun 30, 2012 | 221,000.00 |
| Mar 31, 2012 | 695,000.00 |
| Dec 31, 2011 | 862,000.00 |
| Sep 30, 2011 | 1.22 Mn |
API Access
Positron 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=POSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "POSC", "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=POSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();