Lisata Therapeutics (LSTA) Total Current Liabilities (2010 - 2026)
Lisata Therapeutics (LSTA) posted Total Current Liabilities of $2.99 million for Q2 2026, down 30.7% from $4.31 million a year earlier and down 9.9% from the prior quarter.
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Analysis
Lisata Therapeutics (LSTA) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Lisata Therapeutics' Total Current Liabilities came in at $3.07 million, down 45.3% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- In prior years, Lisata Therapeutics' Total Current Liabilities was $5.61 million in FY2024 (-14.8%), $6.59 million in FY2023 (+3.2%), $6.38 million in FY2022 (+41.1%) and $4.52 million in FY2021 (+29.0%).
- The Q2 2026 figure stands as the lowest quarterly Total Current Liabilities since Q1 2022.
- On a year-over-year basis, Total Current Liabilities has declined in each of the last eight quarters, with an average decline of 18.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2023, with growth of 88.7%; the weakest was Q4 2025, with a decline of 45.3%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $3.32 million (Q1 2026), $3.07 million (Q4 2025) and $4.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Lisata Therapeutics | 13.68 Mn | 13.42 Mn | - | 2.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.99 Mn |
| Mar 31, 2026 | 3.32 Mn |
| Dec 31, 2025 | 3.07 Mn |
| Sep 30, 2025 | 4.57 Mn |
| Jun 30, 2025 | 4.31 Mn |
| Mar 31, 2025 | 3.81 Mn |
| Dec 31, 2024 | 5.61 Mn |
| Sep 30, 2024 | 4.69 Mn |
| Jun 30, 2024 | 4.46 Mn |
| Mar 31, 2024 | 5.33 Mn |
| Dec 31, 2023 | 6.59 Mn |
| Sep 30, 2023 | 5.13 Mn |
| Jun 30, 2023 | 4.36 Mn |
| Mar 31, 2023 | 5.29 Mn |
| Dec 31, 2022 | 6.38 Mn |
| Sep 30, 2022 | 6.39 Mn |
| Jun 30, 2022 | 3.36 Mn |
| Mar 31, 2022 | 2.80 Mn |
| Dec 31, 2021 | 4.52 Mn |
| Sep 30, 2021 | 4.07 Mn |
API Access
Lisata Therapeutics Total Current Liabilities 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=total-current-liabilities&ticker=LSTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=LSTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();