Xeris Biopharma Holdings (XERS) Enterprise Value (2020 - 2026)
Xeris Biopharma Holdings' Enterprise Value was $1.25 billion in Q2 2026, up 80.7% from $693.63 million a year earlier and up 40.9% from the prior quarter.
Xeris Biopharma Holdings (XERS) Enterprise Value (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Xeris Biopharma Holdings' Enterprise Value was $938.71 million through Jun 30, 2026, up 90.0% year-over-year; for FY2025, it came in at $1.19 billion, up 174.5% from FY2024.
- Enterprise Value has now increased for three consecutive years, with a five-year compound annual growth rate of 73.5% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $434.94 million in FY2024 (+72.5%), $252.16 million in FY2023 (+325.4%), $59.28 million in FY2022 (-54.1%) and $129.12 million in FY2021 (+69.9%).
- Quarterly Enterprise Value has moved between $59.28 million (Q4 2022) and $1.26 billion (Q3 2025) over five years.
- Compared with a year earlier, Enterprise Value has increased for eight straight quarters, with growth averaging 135.0% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was Q4 2023 (growth of 325.4%); the worst was Q3 2021 (a decline of 70.3%).
- Per Business Quant data, XERS's Enterprise Value in the three quarters before Q2 2026 was $889.09 million (Q1 2026), $1.19 billion (Q4 2025) and $1.26 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,138.33 Bn | 1,106.91 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 618.82 Bn | 537.35 Bn | 17.26 Bn |
| 3 | AbbVie | 503.36 Bn | 476.47 Bn | 12.70 Bn |
| 4 | Merck | 369.59 Bn | 323.96 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.57 Bn | 262.56 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.25 Bn | 234.94 Bn | 12.86 Bn |
| 7 | Amgen | 237.35 Bn | 192.75 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.27 Bn | 165.47 Bn | 6.22 Bn |
| 9 | Pfizer | 170.03 Bn | 116.68 Bn | 10.94 Bn |
| 10 | Xeris Biopharma Holdings | 1.87 Bn | 1.44 Bn | 79.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.25 Bn |
| Mar 31, 2026 | 889.09 Mn |
| Dec 31, 2025 | 1.19 Bn |
| Sep 30, 2025 | 1.26 Bn |
| Jun 30, 2025 | 693.63 Mn |
| Mar 31, 2025 | 798.08 Mn |
| Dec 31, 2024 | 434.94 Mn |
| Sep 30, 2024 | 355.26 Mn |
| Jun 30, 2024 | 257.54 Mn |
| Mar 31, 2024 | 240.22 Mn |
| Dec 31, 2023 | 252.16 Mn |
| Sep 30, 2023 | 190.83 Mn |
| Jun 30, 2023 | 280.92 Mn |
| Mar 31, 2023 | 128.68 Mn |
| Dec 31, 2022 | 59.28 Mn |
| Sep 30, 2022 | 118.67 Mn |
| Jun 30, 2022 | 97.82 Mn |
| Mar 31, 2022 | 214.81 Mn |
| Dec 31, 2021 | 129.12 Mn |
| Sep 30, 2021 | 69.94 Mn |
Xeris Biopharma Holdings Enterprise Value 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=enterprise-value&ticker=XERS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=XERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();