Lisata Therapeutics (LSTA) Receivables (2010 - 2025)
Lisata Therapeutics (LSTA) posted Receivables of $502,000 for Q3 2025, up 0.2% from the prior quarter.
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Analysis
Lisata Therapeutics (LSTA) Receivables (2010 - 2025) Analysis & Trends
At the end of FY2024, Lisata Therapeutics' Receivables came in at $900,000.
- Quarterly Receivables has run from a low of $501,000 in Q2 2025 to a high of $900,000 in Q4 2024 over five years.
- According to Business Quant data, Receivables for the three prior quarters was $501,000 (Q2 2025), $750,000 (Q1 2025) and $900,000 (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 23.48 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 19.05 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 13.82 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 12.56 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 15.68 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 10.23 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | 5.06 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | 12.49 Bn |
| 10 | Lisata Therapeutics | 9.38 Mn | -49.12 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 502,000.00 |
| Jun 30, 2025 | 501,000.00 |
| Mar 31, 2025 | 750,000.00 |
| Dec 31, 2024 | 900,000.00 |
| Mar 31, 2018 | 144,256.00 |
| Dec 31, 2017 | 234,461.00 |
| Sep 30, 2017 | 401,558.00 |
| Jun 30, 2017 | 335,646.00 |
| Mar 31, 2017 | 3.17 Mn |
| Dec 31, 2016 | 138,774.00 |
| Sep 30, 2016 | 4.27 Mn |
| Jun 30, 2016 | 2.89 Mn |
| Mar 31, 2016 | 2.61 Mn |
| Dec 31, 2015 | 2.57 Mn |
| Sep 30, 2015 | 2.30 Mn |
| Jun 30, 2015 | 1.30 Mn |
| Mar 31, 2015 | 1.97 Mn |
| Dec 31, 2014 | 3.11 Mn |
| Sep 30, 2014 | 2.09 Mn |
| Jun 30, 2014 | 2.51 Mn |
API Access
Lisata Therapeutics Receivables 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=receivables&ticker=LSTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=LSTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();