QTREX Quantum (QTEX) Receivables (2020 - 2026)
QTREX Quantum (QTEX) reported Receivables of $825,000 for Q2 2026.
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Analysis
QTREX Quantum (QTEX) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, QTREX Quantum posted Receivables of $385,000, down 36.3% from FY2024.
- Receivables has a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- By year, Receivables came in at $604,000 in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 955.70 Mn |
| 10 | QTREX Quantum | 10.35 Mn | -10.71 Mn | - | 825,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 825,000.00 |
| Dec 31, 2025 | 385,000.00 |
| Jun 30, 2025 | 769,000.00 |
| Dec 31, 2024 | 303,000.00 |
| Dec 31, 2023 | 432,000.00 |
| Mar 31, 2023 | 371,000.00 |
| Dec 31, 2022 | 589,000.00 |
| Sep 30, 2022 | 578,000.00 |
| Jun 30, 2022 | 195,000.00 |
| Mar 31, 2022 | 433,000.00 |
| Dec 31, 2021 | 639,000.00 |
| Sep 30, 2021 | 725,000.00 |
| Jun 30, 2021 | 371,000.00 |
| Dec 31, 2020 | 188,000.00 |
API Access
QTREX Quantum 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=QTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "QTEX", "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=QTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();