Lisata Therapeutics (LSTA) FCF Margin (2010 - 2025)
Lisata Therapeutics' FCF Margin was -2499.23% in Q4 2025, down 2046.43 percentage points from -452.80% a year earlier.
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Analysis
Lisata Therapeutics (LSTA) FCF Margin (2010 - 2025) Analysis & Trends
For FY2025, FCF Margin at Lisata Therapeutics came in at -7988.50%, down 6052.90 percentage points from FY2024.
- In earlier years, FCF Margin was -1935.60% in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,138.83 Bn | 1,107.41 Bn | 19.71 Bn | 33.76% |
| 2 | Johnson & Johnson | 618.88 Bn | 537.41 Bn | 17.26 Bn | 28.82% |
| 3 | AbbVie | 502.93 Bn | 476.04 Bn | 12.70 Bn | 18.33% |
| 4 | Merck | 369.61 Bn | 323.99 Bn | 12.21 Bn | 26.96% |
| 5 | Novartis Ag | 298.70 Bn | 262.69 Bn | 11.24 Bn | 38.60% |
| 6 | Astrazeneca | 261.35 Bn | 235.03 Bn | 12.86 Bn | 6.55% |
| 7 | Amgen | 237.59 Bn | 192.99 Bn | 7.24 Bn | 34.70% |
| 8 | Gilead Sciences | 191.60 Bn | 165.79 Bn | 6.22 Bn | 44.00% |
| 9 | Pfizer | 170.23 Bn | 116.88 Bn | 10.94 Bn | 2.01% |
| 10 | Lisata Therapeutics | 9.20 Mn | -49.30 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -2,499.23% |
| Jun 30, 2025 | -5,651.43% |
| Dec 31, 2024 | -452.80% |
| Mar 31, 2017 | -128.21% |
| Dec 31, 2016 | -52.63% |
| Sep 30, 2016 | -61.42% |
| Jun 30, 2016 | -110.51% |
| Mar 31, 2016 | -121.14% |
| Dec 31, 2015 | -123,540.49% |
| Sep 30, 2015 | -160.90% |
| Jun 30, 2015 | -154.17% |
| Mar 31, 2015 | -459.76% |
| Dec 31, 2014 | -220,535.08% |
| Sep 30, 2014 | -339,282.49% |
| Jun 30, 2014 | -277,397.19% |
| Mar 31, 2014 | -308,016.42% |
| Dec 31, 2013 | -223,315.87% |
| Sep 30, 2013 | -196,709.98% |
| Jun 30, 2013 | -142,349.16% |
| Mar 31, 2013 | -284,837.72% |
API Access
Lisata Therapeutics FCF Margin 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=fcf-margin&ticker=LSTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-margin", "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=fcf-margin&ticker=LSTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();