Lunai Bioworks (LNAI) Cost of Revenue (2013 - 2015)
Lunai Bioworks' Cost of Revenue was $5,275 in FY2016 (year ended Jun 30, 2016).
Analysis
Lunai Bioworks (LNAI) Cost of Revenue (2013 - 2015) Analysis & Trends
From FY2012 onward, Lunai Bioworks has reported Cost of Revenue for 5 fiscal years.
- Cost of Revenue shows a four-year compound annual growth rate of -46.5% (FY2012 to FY2016).
- Annual Cost of Revenue has moved between $5,244 (FY2015) and $295,661 (FY2014) over five years.
- Per Business Quant data, Cost of Revenue in earlier fiscal years was $5,244 in FY2015 (-98.2%), $295,661 in FY2014 (+170.5%), $109,299 in FY2013 (+69.8%) and $64,385 in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 8.05 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Lunai Bioworks | 4.06 Mn | -690,718.65 | 20,942.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 5,244.00 |
| Mar 31, 2015 | 44,622.00 |
| Dec 31, 2014 | 70,161.00 |
| Sep 30, 2014 | 143,495.00 |
| Jun 30, 2014 | 64,266.00 |
| Mar 31, 2014 | 17,739.00 |
| Sep 30, 2013 | 16,198.00 |
| Jun 30, 2013 | 36,928.00 |
| Mar 31, 2013 | 15,360.00 |
API Access
Lunai Bioworks Cost of Revenue 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=cost-of-revenue&ticker=LNAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LNAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();