Lisata Therapeutics (LSTA) Return on Sales [ROS] (2010 - 2026)
Lisata Therapeutics (LSTA) reported Return on Sales [ROS] of -8213.50% for Q2 2026, down 1259.21 percentage points from -6954.29% a year earlier.
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Analysis
Lisata Therapeutics (LSTA) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For FY2025, Lisata Therapeutics posted Return on Sales [ROS] of -9104.50%, down 6863.60 percentage points from FY2024.
- By year, Return on Sales [ROS] came in at -2240.90% in FY2024.
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Lisata Therapeutics | 13.40 Mn | 13.15 Mn | - | -8,213.50% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8,213.50% |
| Dec 31, 2025 | -2,368.46% |
| Sep 30, 2025 | -1,876.45% |
| Jun 30, 2025 | -6,954.29% |
| Dec 31, 2024 | -494.90% |
| Sep 30, 2024 | -129.76% |
| Jun 30, 2024 | -87.95% |
| Mar 31, 2017 | -81.19% |
| Dec 31, 2016 | -53.97% |
| Sep 30, 2016 | -61.47% |
| Jun 30, 2016 | -89.22% |
| Mar 31, 2016 | -147.85% |
| Dec 31, 2015 | -789,806.57% |
| Sep 30, 2015 | -176.33% |
| Jun 30, 2015 | -437.52% |
| Mar 31, 2015 | -570.19% |
| Dec 31, 2014 | -294,784.38% |
| Sep 30, 2014 | -394,815.44% |
| Jun 30, 2014 | -276,909.38% |
| Mar 31, 2014 | -332,814.79% |
API Access
Lisata Therapeutics Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LSTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LSTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();