Lisata Therapeutics (LSTA) Accumulated Expenses (2010 - 2026)
Lisata Therapeutics (LSTA) reported Accumulated Expenses of $2.15 million for Q2 2026, down 39.1% from $3.53 million a year earlier and down 23.3% from the prior quarter.
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Analysis
Lisata Therapeutics (LSTA) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Lisata Therapeutics posted Accumulated Expenses of $2.05 million, down 52.6% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $4.33 million in FY2024 (+3.8%), $4.17 million in FY2023 (+11.8%), $3.73 million in FY2022 (+44.0%) and $2.59 million in FY2021 (+4.1%).
- Five-year quarterly Accumulated Expenses spans a low of $2.05 million in Q4 2025 and a high of $5.42 million in Q3 2022.
- Year over year, Accumulated Expenses has now declined in each of the last six quarters, with an average decline of 15.4% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q1 2023 (growth of 87.5%); the low point was Q4 2025 (a decline of 52.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.81 million (Q1 2026), $2.05 million (Q4 2025) and $3.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Lisata Therapeutics | 13.13 Mn | 12.88 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.15 Mn |
| Mar 31, 2026 | 2.81 Mn |
| Dec 31, 2025 | 2.05 Mn |
| Sep 30, 2025 | 3.95 Mn |
| Jun 30, 2025 | 3.53 Mn |
| Mar 31, 2025 | 3.21 Mn |
| Dec 31, 2024 | 4.33 Mn |
| Sep 30, 2024 | 4.14 Mn |
| Jun 30, 2024 | 3.73 Mn |
| Mar 31, 2024 | 4.07 Mn |
| Dec 31, 2023 | 4.17 Mn |
| Sep 30, 2023 | 3.82 Mn |
| Jun 30, 2023 | 3.58 Mn |
| Mar 31, 2023 | 3.95 Mn |
| Dec 31, 2022 | 3.73 Mn |
| Sep 30, 2022 | 5.42 Mn |
| Jun 30, 2022 | 2.26 Mn |
| Mar 31, 2022 | 2.10 Mn |
| Dec 31, 2021 | 2.59 Mn |
| Sep 30, 2021 | 3.30 Mn |
API Access
Lisata Therapeutics Accumulated Expenses 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=accumulated-expenses&ticker=LSTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LSTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();