Xeris Biopharma Holdings (XERS) Revenue (2020 - 2026)
Xeris Biopharma Holdings' Revenue came in at $92.1 million for Q2 2026, up 28.7% from $71.54 million a year earlier and up 10.8% from the prior quarter.
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Analysis
Xeris Biopharma Holdings (XERS) Revenue (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xeris Biopharma Holdings reported Revenue of $335.41 million, up 36.3% year-over-year; for FY2025, it was $291.85 million, up 43.7% from FY2024.
- Revenue has increased in each of the last five years, with a five-year compound annual growth rate of 70.2% (FY2020 to FY2025).
- Going back by year, Revenue was $203.07 million in FY2024 (+23.9%), $163.91 million in FY2023 (+48.7%), $110.25 million in FY2022 (+122.3%) and $49.59 million in FY2021 (+142.7%).
- The Q2 2026 figure represents the highest quarterly Revenue in data going back to Q3 2020.
- Year-over-year, Revenue has increased for 20 consecutive quarters, with growth averaging 36.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 12.3% in Q3 2024 to 192.1% in Q4 2021.
- Business Quant data shows XERS's Revenue at $83.13 million (Q1 2026), $85.81 million (Q4 2025) and $74.38 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 3.33 Bn |
| 10 | Xeris Biopharma Holdings | 1.66 Bn | 1.22 Bn | 79.59 Mn | 92.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.10 Mn |
| Mar 31, 2026 | 83.13 Mn |
| Dec 31, 2025 | 85.81 Mn |
| Sep 30, 2025 | 74.38 Mn |
| Jun 30, 2025 | 71.54 Mn |
| Mar 31, 2025 | 60.12 Mn |
| Dec 31, 2024 | 60.10 Mn |
| Sep 30, 2024 | 54.27 Mn |
| Jun 30, 2024 | 48.07 Mn |
| Mar 31, 2024 | 40.64 Mn |
| Dec 31, 2023 | 44.39 Mn |
| Sep 30, 2023 | 48.32 Mn |
| Jun 30, 2023 | 38.01 Mn |
| Mar 31, 2023 | 33.20 Mn |
| Dec 31, 2022 | 33.14 Mn |
| Sep 30, 2022 | 29.73 Mn |
| Jun 30, 2022 | 25.31 Mn |
| Mar 31, 2022 | 22.07 Mn |
| Dec 31, 2021 | 21.43 Mn |
| Sep 30, 2021 | 11.06 Mn |
API Access
Xeris Biopharma Holdings Revenue 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=revenue&ticker=XERS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=XERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();