Anbio Biotechnology (NNNN) Receivables (2023 - 2025)
Anbio Biotechnology (NNNN) recorded Receivables of $3.66 million in the quarter ended Dec 31, 2025, up 243.4% from $1.06 million a year earlier.
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Analysis
Anbio Biotechnology (NNNN) Receivables (2023 - 2025) Analysis & Trends
Starting with the quarter ended Dec 31, 2023, Anbio Biotechnology's Receivables history includes 4 quarters.
- Across earlier years, Receivables came in at $1.06 million in the year ended Dec 31, 2024 (-43.5%) and $1.88 million in the year ended Dec 31, 2023.
- Quarterly Receivables has ranged from $1.06 million in the quarter ended Dec 31, 2024 to $3.72 million in the quarter ended Jun 30, 2025 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.38 Bn | 237.41 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 171.98 Bn | 142.41 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 162.99 Bn | 146.80 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 150.28 Bn | 129.70 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 119.92 Bn | 85.17 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 113.47 Bn | 99.59 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 65.06 Bn | 59.83 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 53.40 Bn | 50.55 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.64 Bn | 34.65 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Anbio Biotechnology | 160.49 Mn | 113.72 Mn | - | 3.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.66 Mn |
| Jun 30, 2025 | 3.72 Mn |
| Dec 31, 2024 | 1.06 Mn |
| Dec 31, 2023 | 1.88 Mn |
API Access
Anbio Biotechnology 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=NNNN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "NNNN", "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=NNNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();