Lisata Therapeutics (LSTA) Total Non-Current Liabilities (2010 - 2026)
Lisata Therapeutics (LSTA) recorded Total Non-Current Liabilities of $2.73 million in Q2 2026, down 36.6% from $4.31 million a year earlier and down 17.6% from the prior quarter.
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Analysis
Lisata Therapeutics (LSTA) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Lisata Therapeutics reported Total Non-Current Liabilities of $2.82 million, down 49.8% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -4.3% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $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 is the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Non-Current Liabilities has declined for eight consecutive quarters, with an average decline of 20.3% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 88.7% in Q1 2023, against a decline of 49.8% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.32 million (Q1 2026), $2.82 million (Q4 2025) and $4.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Lisata Therapeutics | 9.47 Mn | -49.03 Mn | - | 2.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.73 Mn |
| Mar 31, 2026 | 3.32 Mn |
| Dec 31, 2025 | 2.82 Mn |
| Sep 30, 2025 | 4.31 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 Non-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-non-current-liabilities&ticker=LSTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=LSTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();