Talphera (TLPH) Return on Capital Employed [ROCE] (2011 - 2026)
Talphera's Return on Capital Employed [ROCE] was -60.71% in Q2 2026, up 41.04 percentage points from -101.74% a year earlier but down 4.69 percentage points from the prior quarter.
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Analysis
Talphera (TLPH) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Talphera came in at -66.86%, up 24.65 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +0.09 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -91.50% in FY2024 (-34.11 pp), -57.39% in FY2023 (-5.67 pp), -51.72% in FY2022 (+15.40 pp) and -67.12% in FY2021 (-0.17 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between -101.74% (Q2 2025) and -51.03% (Q4 2025) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for four straight quarters, with an average year-over-year change of +7.52 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2026 (a gain of 41.04 percentage points); the worst was Q4 2023 (a drop of 35.30 percentage points).
- Per Business Quant data, TLPH's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -56.02% (Q1 2026), -51.03% (Q4 2025) and -63.81% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,144.36 Bn | 1,112.95 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 635.36 Bn | 555.22 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 502.79 Bn | 475.90 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.08 Bn | 310.46 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 300.87 Bn | 264.86 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 264.31 Bn | 237.99 Bn | 12.86 Bn | 16.76% |
| 7 | Amgen | 239.07 Bn | 194.47 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 194.50 Bn | 168.70 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 171.00 Bn | 117.64 Bn | 10.94 Bn | 11.86% |
| 10 | Talphera | 79.30 Mn | 62.23 Mn | - | -60.71% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -60.71% |
| Mar 31, 2026 | -56.02% |
| Dec 31, 2025 | -51.03% |
| Sep 30, 2025 | -63.81% |
| Jun 30, 2025 | -101.74% |
| Mar 31, 2025 | -95.24% |
| Dec 31, 2024 | -89.83% |
| Sep 30, 2024 | -81.99% |
| Jun 30, 2024 | -68.39% |
| Mar 31, 2024 | -74.38% |
| Dec 31, 2023 | -97.53% |
| Sep 30, 2023 | -51.46% |
| Jun 30, 2023 | -67.62% |
| Mar 31, 2023 | -78.88% |
| Dec 31, 2022 | -62.24% |
| Sep 30, 2022 | -91.10% |
| Jun 30, 2022 | -76.17% |
| Mar 31, 2022 | -54.85% |
| Dec 31, 2021 | -63.58% |
| Sep 30, 2021 | -62.92% |
API Access
Talphera 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=TLPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "TLPH", "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=TLPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();