Xeris Biopharma Holdings (XERS) Return on Capital Employed [ROCE] (2021 - 2026)
Xeris Biopharma Holdings (XERS) recorded Return on Capital Employed [ROCE] of 17.23% in Q2 2026, up 21.50 percentage points from -4.27% a year earlier and up 3.89 percentage points from the prior quarter.
Xeris Biopharma Holdings (XERS) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Xeris Biopharma Holdings reported Return on Capital Employed [ROCE] of 10.22%, up 25.34 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for four straight years, with a four-year change of +85.62 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -15.13% in FY2024 (+3.33 pp), -18.46% in FY2023 (+14.21 pp), -32.67% in FY2022 (+42.74 pp) and -75.41% in FY2021.
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2021.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for 15 consecutive quarters, with an average year-over-year change of +14.44 percentage points over the last eight quarters.
- The year-over-year gain in Return on Capital Employed [ROCE] has ranged between 1.27 percentage points (Q3 2024) and 50.23 percentage points (Q4 2022) over the last five years.
- Per Business Quant, the preceding three quarters came in at 13.34% (Q1 2026), 9.31% (Q4 2025) and 4.15% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 35.41% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 21.60% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.65% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.91% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 17.37% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -6.15% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 11.32% |
| 10 | Xeris Biopharma Holdings | 2.89 Bn | 2.41 Bn | 94.80 Mn | 16.53% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.53% |
| Jun 30, 2026 | 17.23% |
| Mar 31, 2026 | 13.34% |
| Dec 31, 2025 | 9.31% |
| Sep 30, 2025 | 4.15% |
| Jun 30, 2025 | -4.27% |
| Mar 31, 2025 | -10.03% |
| Dec 31, 2024 | -15.18% |
| Sep 30, 2024 | -19.19% |
| Jun 30, 2024 | -14.37% |
| Mar 31, 2024 | -17.53% |
| Dec 31, 2023 | -19.13% |
| Sep 30, 2023 | -20.45% |
| Jun 30, 2023 | -25.76% |
| Mar 31, 2023 | -26.30% |
| Dec 31, 2022 | -32.76% |
| Sep 30, 2022 | -47.49% |
| Jun 30, 2022 | -45.76% |
| Mar 31, 2022 | -50.09% |
| Dec 31, 2021 | -82.98% |
Xeris Biopharma Holdings 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=XERS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "XERS", "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=XERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();