Lisata Therapeutics (LSTA) Cost of Revenue (2010 - 2017)
Lisata Therapeutics (LSTA) posted Cost of Revenue of $8.04 million for Q1 2017, up 29.1% from $6.23 million a year earlier but down 13.0% from the prior quarter.
Lisata Therapeutics (LSTA) Cost of Revenue (2010 - 2017) Analysis & Trends
For the trailing twelve months through Mar 31, 2017, Cost of Revenue at Lisata Therapeutics was $32.95 million, up 43.1% year-over-year; for FY2016, it came in at $31.14 million, up 54.5% from FY2015.
- Annual Cost of Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 29.2% (FY2011 to FY2016).
- In prior years, Lisata Therapeutics' Cost of Revenue was $20.16 million in FY2015 (+28.6%), $15.68 million in FY2014 (+21.1%), $12.95 million in FY2013 (+8.4%) and $11.95 million in FY2012 (+38.2%).
- Quarterly Cost of Revenue has run from a low of $2.39 million in Q1 2013 to a high of $9.25 million in Q4 2016 over five years.
- On a year-over-year basis, Cost of Revenue has increased in each of the last eight quarters, with growth averaging 48.8% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q3 2012, with growth of 98.1%; the weakest was Q4 2012, with a decline of 24.2%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $9.25 million (Q4 2016), $8.61 million (Q3 2016) and $7.05 million (Q2 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 8.10 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Lisata Therapeutics | 9.12 Mn | -49.63 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 8.04 Mn |
| Dec 31, 2016 | 9.25 Mn |
| Sep 30, 2016 | 8.61 Mn |
| Jun 30, 2016 | 7.05 Mn |
| Mar 31, 2016 | 6.23 Mn |
| Dec 31, 2015 | 6.18 Mn |
| Sep 30, 2015 | 4.81 Mn |
| Jun 30, 2015 | 5.80 Mn |
| Mar 31, 2015 | 3.37 Mn |
| Dec 31, 2014 | 4.16 Mn |
| Sep 30, 2014 | 4.01 Mn |
| Jun 30, 2014 | 3.68 Mn |
| Mar 31, 2014 | 3.83 Mn |
| Dec 31, 2013 | 3.34 Mn |
| Sep 30, 2013 | 2.98 Mn |
| Jun 30, 2013 | 4.24 Mn |
| Mar 31, 2013 | 2.39 Mn |
| Dec 31, 2012 | 2.51 Mn |
| Sep 30, 2012 | 3.75 Mn |
| Jun 30, 2012 | 2.74 Mn |
Lisata Therapeutics 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=LSTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "LSTA", "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=LSTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();