Xeris Biopharma Holdings (XERS) Gross Margin (2020 - 2026)
Xeris Biopharma Holdings' Gross Margin came in at 86.41% for Q2 2026, up 3.05 percentage points from 83.37% a year earlier but down 0.86 percentage points from the prior quarter.
Xeris Biopharma Holdings (XERS) Gross Margin (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xeris Biopharma Holdings reported Gross Margin of 86.58%, up 4.34 percentage points year-over-year; for FY2025, it was 85.41%, up 3.55 percentage points from FY2024.
- Gross Margin carries a five-year change of +31.06 percentage points (FY2020 to FY2025).
- Going back by year, Gross Margin was 81.86% in FY2024 (-0.66 pp), 82.52% in FY2023 (+3.05 pp), 79.47% in FY2022 (+6.33 pp) and 73.14% in FY2021 (+18.79 pp).
- The five-year range for quarterly Gross Margin is 70.89% (Q3 2021) to 87.28% (Q1 2026).
- Year-over-year, Gross Margin has increased for four consecutive quarters, with an average year-over-year change of +1.38 percentage points over the last eight quarters.
- The fastest year-over-year change in Gross Margin over five years came in Q4 2021 (a gain of 23.63 percentage points), and the weakest in Q3 2024 (a drop of 8.08 percentage points).
- Business Quant data shows XERS's Gross Margin at 87.28% (Q1 2026), 87.24% (Q4 2025) and 85.22% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 68.19% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 74.74% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 73.54% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 78.02% |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 83.60% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 72.04% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 79.76% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 72.78% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 85.33% |
| 10 | Xeris Biopharma Holdings | 1.71 Bn | 1.27 Bn | 79.59 Mn | 86.41% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.41% |
| Mar 31, 2026 | 87.28% |
| Dec 31, 2025 | 87.24% |
| Sep 30, 2025 | 85.22% |
| Jun 30, 2025 | 83.37% |
| Mar 31, 2025 | 85.48% |
| Dec 31, 2024 | 84.23% |
| Sep 30, 2024 | 74.95% |
| Jun 30, 2024 | 83.79% |
| Mar 31, 2024 | 85.31% |
| Dec 31, 2023 | 82.95% |
| Sep 30, 2023 | 83.03% |
| Jun 30, 2023 | 80.12% |
| Mar 31, 2023 | 83.98% |
| Dec 31, 2022 | 81.02% |
| Sep 30, 2022 | 82.30% |
| Jun 30, 2022 | 80.99% |
| Mar 31, 2022 | 71.58% |
| Dec 31, 2021 | 77.19% |
| Sep 30, 2021 | 70.89% |
Xeris Biopharma Holdings Gross Margin 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=gross-margin&ticker=XERS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=XERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();