Lisata Therapeutics (LSTA) Research & Development (2010 - 2026)
Lisata Therapeutics (LSTA) recorded Research & Development of $584,000 in Q2 2026, down 74.1% from $2.25 million a year earlier and down 51.5% from the prior quarter.
Lisata Therapeutics (LSTA) Research & Development (2010 - 2026) Analysis & Trends
On a TTM basis, Lisata Therapeutics' Research & Development came in at $4.88 million as of Jun 30, 2026, down 52.8% year-over-year; for FY2025, it came in at $7.95 million, down 29.9% from FY2024.
- Annual Research & Development has declined for four straight years, with a five-year compound annual growth rate of -3.0% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $11.33 million in FY2024 (-11.0%), $12.73 million in FY2023 (-2.5%), $13.07 million in FY2022 (-25.7%) and $17.58 million in FY2021 (+89.9%).
- The Q2 2026 figure is the lowest quarterly Research & Development in data going back to Q2 2010.
- On a year-over-year basis, Research & Development has declined for nine consecutive quarters, with an average decline of 34.0% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 39.2% in Q4 2021, against a decline of 74.1% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.2 million (Q1 2026), $1.13 million (Q4 2025) and $1.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,144.36 Bn | 1,112.95 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 635.36 Bn | 555.22 Bn | 17.30 Bn | 4.65 Bn |
| 3 | AbbVie | 502.79 Bn | 475.90 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 356.08 Bn | 310.46 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 300.87 Bn | 264.86 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 264.31 Bn | 237.99 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 239.07 Bn | 194.47 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 194.50 Bn | 168.70 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 171.00 Bn | 117.64 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Lisata Therapeutics | 9.11 Mn | -49.39 Mn | - | 584,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 584,000.00 |
| Mar 31, 2026 | 1.20 Mn |
| Dec 31, 2025 | 1.13 Mn |
| Sep 30, 2025 | 1.96 Mn |
| Jun 30, 2025 | 2.25 Mn |
| Mar 31, 2025 | 2.60 Mn |
| Dec 31, 2024 | 2.95 Mn |
| Sep 30, 2024 | 2.54 Mn |
| Jun 30, 2024 | 2.60 Mn |
| Mar 31, 2024 | 3.24 Mn |
| Dec 31, 2023 | 3.01 Mn |
| Sep 30, 2023 | 3.38 Mn |
| Jun 30, 2023 | 3.16 Mn |
| Mar 31, 2023 | 3.18 Mn |
| Dec 31, 2022 | 3.21 Mn |
| Sep 30, 2022 | 3.34 Mn |
| Jun 30, 2022 | 3.23 Mn |
| Mar 31, 2022 | 3.28 Mn |
| Dec 31, 2021 | 4.05 Mn |
| Sep 30, 2021 | 4.13 Mn |
Lisata Therapeutics Research & Development 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=research-and-development&ticker=LSTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=LSTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();