Positron (POSC) Total Debt (2011 - 2026)
Positron's Total Debt was $1.44 million in Q2 2026, unchanged from the prior quarter.
Analysis
Positron (POSC) Total Debt (2011 - 2026) Analysis & Trends
At the end of FY2025, Total Debt at Positron came in at $1.76 million, up 56.6% from FY2024.
- In earlier years, Total Debt was $1.13 million in FY2024.
- Quarterly Total Debt has moved between $1.13 million (Q4 2024) and $1.76 million (Q4 2025) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 42.55 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 32.61 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 26.56 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 14.94 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 12.62 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 16.81 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 598.70 Mn |
| 10 | Positron | 53.54 Mn | 46.26 Mn | -264,910.00 | 2.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.00 Mn |
| Mar 31, 2026 | 2.00 Mn |
| Dec 31, 2025 | 2.33 Mn |
| Dec 31, 2024 | 1.13 Mn |
| Sep 30, 2015 | 962,000.00 |
| Jun 30, 2015 | 712,000.00 |
| Mar 31, 2015 | 578,000.00 |
| Dec 31, 2014 | 470,000.00 |
| Sep 30, 2014 | 1.44 Mn |
| Jun 30, 2014 | 2.92 Mn |
| Mar 31, 2014 | 2.59 Mn |
| Dec 31, 2013 | 5.02 Mn |
| Sep 30, 2013 | 4.92 Mn |
| Jun 30, 2013 | 3.99 Mn |
| Mar 31, 2013 | 3.24 Mn |
| Dec 31, 2012 | 2.90 Mn |
| Sep 30, 2012 | 1.52 Mn |
| Jun 30, 2012 | 1.40 Mn |
| Mar 31, 2012 | 1.28 Mn |
| Dec 31, 2011 | 334,000.00 |
API Access
Positron Total Debt 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-debt&ticker=POSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=POSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();