Lisata Therapeutics (LSTA) Revenue (2010 - 2025)
Lisata Therapeutics' Revenue was $130,000 in Q4 2025, down 87.0% from $1 million a year earlier.
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Analysis
Lisata Therapeutics (LSTA) Revenue (2010 - 2025) Analysis & Trends
For FY2025, Revenue at Lisata Therapeutics came in at $200,000, down 80.0% from FY2024.
- In earlier years, Revenue was $1 million in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.33 Bn |
| 10 | Lisata Therapeutics | 13.68 Mn | 13.42 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 130,000.00 |
| Jun 30, 2025 | 70,000.00 |
| Dec 31, 2024 | 1.00 Mn |
| Mar 31, 2017 | 7.92 Mn |
| Dec 31, 2016 | 10.18 Mn |
| Sep 30, 2016 | 9.32 Mn |
| Jun 30, 2016 | 8.30 Mn |
| Mar 31, 2016 | 7.49 Mn |
| Dec 31, 2015 | 7,560.00 |
| Sep 30, 2015 | 5.89 Mn |
| Jun 30, 2015 | 5.87 Mn |
| Mar 31, 2015 | 3.17 Mn |
| Dec 31, 2014 | 5,276.00 |
| Sep 30, 2014 | 4,118.00 |
| Jun 30, 2014 | 4,489.00 |
| Mar 31, 2014 | 4,056.00 |
| Dec 31, 2013 | 4,078.00 |
| Sep 30, 2013 | 3,707.00 |
| Jun 30, 2013 | 4,359.00 |
| Mar 31, 2013 | 2,524.00 |
API Access
Lisata Therapeutics 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=revenue&ticker=LSTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=LSTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();