Lisata Therapeutics (LSTA) Return on Capital Employed [ROCE] (2011 - 2026)
Lisata Therapeutics (LSTA) recorded Return on Capital Employed [ROCE] of -171.90% in Q2 2026, down 79.63 percentage points from -92.28% a year earlier and down 34.43 percentage points from the prior quarter.
Lisata Therapeutics (LSTA) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Lisata Therapeutics reported Return on Capital Employed [ROCE] of -78.14%, down 21.03 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -9.94 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -57.11% in FY2024 (-12.23 pp), -44.89% in FY2023 (+28.36 pp), -73.25% in FY2022 (-26.38 pp) and -46.87% in FY2021 (+21.33 pp).
- The Q2 2026 figure is the lowest quarterly Return on Capital Employed [ROCE] since Q3 2016.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined for eight consecutive quarters, with an average year-over-year change of -38.94 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 37.76 percentage points in Q2 2024, against a drop of 79.63 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -137.47% (Q1 2026), -109.16% (Q4 2025) and -106.28% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 11.86% |
| 10 | Lisata Therapeutics | 13.59 Mn | 13.33 Mn | - | -171.90% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -171.90% |
| Mar 31, 2026 | -137.47% |
| Dec 31, 2025 | -109.16% |
| Sep 30, 2025 | -106.28% |
| Jun 30, 2025 | -92.28% |
| Mar 31, 2025 | -76.83% |
| Dec 31, 2024 | -72.32% |
| Sep 30, 2024 | -65.80% |
| Jun 30, 2024 | -58.89% |
| Mar 31, 2024 | -55.20% |
| Dec 31, 2023 | -51.62% |
| Sep 30, 2023 | -47.60% |
| Jun 30, 2023 | -96.65% |
| Mar 31, 2023 | -89.80% |
| Dec 31, 2022 | -83.00% |
| Sep 30, 2022 | -76.39% |
| Jun 30, 2022 | -31.83% |
| Mar 31, 2022 | -30.17% |
| Dec 31, 2021 | -30.50% |
| Sep 30, 2021 | -27.24% |
Lisata Therapeutics Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=LSTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=LSTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();