Lisata Therapeutics (LSTA) Cash & Equivalents (2010 - 2026)
Lisata Therapeutics (LSTA) recorded Cash & Equivalents of $10.44 million in Q2 2026, down 38.0% from $16.84 million a year earlier and down 20.3% from the prior quarter.
Lisata Therapeutics (LSTA) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Lisata Therapeutics reported Cash & Equivalents of $15.96 million, down 1.6% from FY2024.
- Annual Cash & Equivalents has declined for three straight years, with a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $16.21 million in FY2024 (-28.3%), $22.59 million in FY2023 (-29.7%), $32.15 million in FY2022 (+30.5%) and $24.65 million in FY2021 (+49.3%).
- The Q2 2026 figure is the lowest quarterly Cash & Equivalents since Q4 2018.
- On a year-over-year basis, Cash & Equivalents has declined for eight consecutive quarters, with an average decline of 24.2% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 157.8% in Q2 2022, against a decline of 55.7% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.1 million (Q1 2026), $15.96 million (Q4 2025) and $19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Lisata Therapeutics | 13.59 Mn | 13.33 Mn | - | 10.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.44 Mn |
| Mar 31, 2026 | 13.10 Mn |
| Dec 31, 2025 | 15.96 Mn |
| Sep 30, 2025 | 19.00 Mn |
| Jun 30, 2025 | 16.84 Mn |
| Mar 31, 2025 | 20.22 Mn |
| Dec 31, 2024 | 16.21 Mn |
| Sep 30, 2024 | 19.51 Mn |
| Jun 30, 2024 | 28.29 Mn |
| Mar 31, 2024 | 21.81 Mn |
| Dec 31, 2023 | 22.59 Mn |
| Sep 30, 2023 | 32.43 Mn |
| Jun 30, 2023 | 23.69 Mn |
| Mar 31, 2023 | 28.16 Mn |
| Dec 31, 2022 | 32.15 Mn |
| Sep 30, 2022 | 31.48 Mn |
| Jun 30, 2022 | 33.35 Mn |
| Mar 31, 2022 | 12.75 Mn |
| Dec 31, 2021 | 24.65 Mn |
| Sep 30, 2021 | 12.77 Mn |
Lisata Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=LSTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LSTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();