Xeris Biopharma Holdings (XERS) Return on Sales [ROS] (2020 - 2026)
Xeris Biopharma Holdings (XERS) recorded Return on Sales [ROS] of 5.62% in Q2 2026, down 0.65 percentage points from 6.27% a year earlier and down 3.91 percentage points from the prior quarter.
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Analysis
Xeris Biopharma Holdings (XERS) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a TTM basis, Xeris Biopharma Holdings' Return on Sales [ROS] came in at 10.91% as of Jun 30, 2026, up 14.90 percentage points year-over-year; for FY2025, it came in at 8.53%, up 25.10 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for five straight years, with a five-year change of +417.37 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -16.57% in FY2024 (+10.28 pp), -26.85% in FY2023 (+47.47 pp), -74.32% in FY2022 (+157.89 pp) and -232.22% in FY2021 (+176.62 pp).
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] since Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] rose in six of the last eight quarters, with an average year-over-year change of +16.02 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 214.80 percentage points in Q2 2022, against a drop of 74.08 percentage points in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 9.52% (Q1 2026), 19.55% (Q4 2025) and 9.05% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Xeris Biopharma Holdings | 1.58 Bn | 1.14 Bn | 79.59 Mn | 5.62% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.62% |
| Mar 31, 2026 | 9.52% |
| Dec 31, 2025 | 19.55% |
| Sep 30, 2025 | 9.05% |
| Jun 30, 2025 | 6.27% |
| Mar 31, 2025 | -5.14% |
| Dec 31, 2024 | 2.79% |
| Sep 30, 2024 | -23.76% |
| Jun 30, 2024 | -17.03% |
| Mar 31, 2024 | -35.05% |
| Dec 31, 2023 | -22.17% |
| Sep 30, 2023 | -10.17% |
| Jun 30, 2023 | -42.04% |
| Mar 31, 2023 | -40.00% |
| Dec 31, 2022 | -45.77% |
| Sep 30, 2022 | -63.18% |
| Jun 30, 2022 | -74.75% |
| Mar 31, 2022 | -131.72% |
| Dec 31, 2021 | -225.26% |
| Sep 30, 2021 | -220.24% |
API Access
Xeris Biopharma Holdings Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=XERS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=XERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();