Lunai Bioworks (LNAI) Receivables - Net (2012 - 2025)
Lunai Bioworks' Receivables - Net came in at $964,389 for fiscal Q3 2025 (quarter ended Mar 31, 2025).
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Analysis
Lunai Bioworks (LNAI) Receivables - Net (2012 - 2025) Analysis & Trends
At the end of FY2016 (ended Jun 30, 2016), Lunai Bioworks' Receivables - Net was $695,418.
- Receivables - Net carries a four-year compound annual growth rate of 70.8% (FY2012 to FY2016).
- Going back by fiscal year, Receivables - Net was $581,717 in FY2015, $8,016 in FY2014 (-68.5%), $25,456 in FY2013 (-68.9%) and $81,802 in FY2012.
- The fiscal Q3 2025 figure represents the highest quarterly Receivables - Net since fiscal Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Lunai Bioworks | 5.81 Mn | 1.06 Mn | 20,942.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 964,389.00 |
| Dec 31, 2023 | 1.07 Mn |
| Sep 30, 2023 | 1.06 Mn |
| Jun 30, 2016 | 695,418.00 |
| Mar 31, 2016 | 643,947.00 |
| Dec 31, 2015 | 581,717.00 |
| Sep 30, 2015 | 460,259.00 |
| Jun 30, 2015 | 432,125.00 |
| Mar 31, 2015 | 41,120.00 |
| Dec 31, 2014 | 8,016.00 |
| Sep 30, 2014 | 35,225.00 |
| Jun 30, 2014 | 85,326.00 |
| Mar 31, 2014 | 69,712.00 |
| Dec 31, 2013 | 25,456.00 |
| Dec 31, 2012 | 81,802.00 |
API Access
Lunai Bioworks Receivables - Net 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-net&ticker=LNAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "LNAI", "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-net&ticker=LNAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();