Lisata Therapeutics (LSTA) Operating Expenses (2010 - 2026)
Lisata Therapeutics (LSTA) reported Operating Expenses of $3.99 million for Q2 2026, down 19.2% from $4.94 million a year earlier and down 19.2% from the prior quarter.
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Analysis
Lisata Therapeutics (LSTA) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lisata Therapeutics' Operating Expenses came in at $16.53 million, down 25.1% year-over-year; for FY2025, it was $18.38 million, down 21.5% from FY2024.
- Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $23.41 million in FY2024 (-8.9%), $25.71 million in FY2023 (-55.4%), $57.6 million in FY2022 (+98.3%) and $29.05 million in FY2021 (+51.7%).
- Five-year quarterly Operating Expenses spans a low of $3.18 million in Q4 2025 and a high of $37.72 million in Q3 2022.
- Year over year, Operating Expenses has now declined in each of the last 12 quarters, with an average decline of 16.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2022 (growth of 441.3%); the low point was Q3 2023 (a decline of 84.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.94 million (Q1 2026), $3.18 million (Q4 2025) and $4.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Lisata Therapeutics | 13.68 Mn | 13.42 Mn | - | 3.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.99 Mn |
| Mar 31, 2026 | 4.94 Mn |
| Dec 31, 2025 | 3.18 Mn |
| Sep 30, 2025 | 4.41 Mn |
| Jun 30, 2025 | 4.94 Mn |
| Mar 31, 2025 | 5.85 Mn |
| Dec 31, 2024 | 5.95 Mn |
| Sep 30, 2024 | 5.34 Mn |
| Jun 30, 2024 | 5.52 Mn |
| Mar 31, 2024 | 6.60 Mn |
| Dec 31, 2023 | 6.03 Mn |
| Sep 30, 2023 | 5.96 Mn |
| Jun 30, 2023 | 6.88 Mn |
| Mar 31, 2023 | 6.84 Mn |
| Dec 31, 2022 | 6.54 Mn |
| Sep 30, 2022 | 37.72 Mn |
| Jun 30, 2022 | 6.72 Mn |
| Mar 31, 2022 | 6.62 Mn |
| Dec 31, 2021 | 6.85 Mn |
| Sep 30, 2021 | 6.97 Mn |
API Access
Lisata Therapeutics Operating Expenses 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=operating-expenses&ticker=LSTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LSTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();