Lisata Therapeutics (LSTA) Tax Provisions (2010 - 2026)
Lisata Therapeutics (LSTA) posted Tax Provisions of -$387,000 for Q1 2026, compared with -$962,000 a year earlier.
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Analysis
Lisata Therapeutics (LSTA) Tax Provisions (2010 - 2026) Analysis & Trends
For FY2025, Lisata Therapeutics' Tax Provisions came in at -$962,000.
- In prior years, Lisata Therapeutics' Tax Provisions was -$798,000 in FY2024, -$2.33 million in FY2023, -$2.48 million in FY2022 and -$1.51 million in FY2021.
- The Q1 2026 figure stands as the highest quarterly Tax Provisions since Q1 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,140.19 Bn | 1,108.77 Bn | 19.71 Bn | 2.15 Bn |
| 2 | Johnson & Johnson | 634.59 Bn | 554.45 Bn | 17.30 Bn | -176.00 Mn |
| 3 | AbbVie | 499.62 Bn | 472.73 Bn | 12.70 Bn | 662.00 Mn |
| 4 | Merck | 354.90 Bn | 309.28 Bn | 12.21 Bn | 654.00 Mn |
| 5 | Novartis Ag | 300.00 Bn | 263.99 Bn | 11.24 Bn | 1.01 Bn |
| 6 | Astrazeneca | 263.32 Bn | 237.01 Bn | 12.86 Bn | 291.00 Mn |
| 7 | Amgen | 238.09 Bn | 193.49 Bn | 7.24 Bn | 393.00 Mn |
| 8 | Gilead Sciences | 193.99 Bn | 168.19 Bn | 6.22 Bn | 242.00 Mn |
| 9 | Pfizer | 170.34 Bn | 116.99 Bn | 10.94 Bn | -407.00 Mn |
| 10 | Lisata Therapeutics | 9.11 Mn | -49.39 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -387,000.00 |
| Mar 31, 2025 | -962,000.00 |
| Mar 31, 2024 | -798,000.00 |
| Jun 30, 2023 | -2.33 Mn |
| Mar 31, 2022 | -2.48 Mn |
| Jun 30, 2021 | -1.51 Mn |
| Jun 30, 2020 | -10.87 Mn |
| Dec 31, 2017 | -3.23 Mn |
| Sep 30, 2017 | -2.41 Mn |
| Jun 30, 2017 | -5.89 Mn |
| Mar 31, 2016 | 53,400.00 |
| Dec 31, 2015 | -13.63 Mn |
| Sep 30, 2015 | 46,633.00 |
| Jun 30, 2015 | -3.70 Mn |
| Mar 31, 2015 | 46,633.00 |
| Dec 31, 2014 | -246,385.00 |
| Sep 30, 2014 | 47,387.00 |
| Jun 30, 2014 | 47,387.00 |
| Mar 31, 2014 | 47,409.00 |
| Dec 31, 2013 | 287,779.00 |
API Access
Lisata Therapeutics Tax Provisions 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=tax-provisions&ticker=LSTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=LSTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();