Xeris Biopharma Holdings (XERS) Non-Current Assets (2020 - 2026)
Xeris Biopharma Holdings (XERS) reported Non-Current Assets of $137.15 million for Q2 2026, down 8.0% from $149.11 million a year earlier and down 2.3% from the prior quarter.
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Analysis
Xeris Biopharma Holdings (XERS) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Xeris Biopharma Holdings posted Non-Current Assets of $143.21 million, down 7.8% from FY2024.
- Non-Current Assets has a five-year compound annual growth rate of 83.2% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $155.4 million in FY2024 (-6.6%), $166.34 million in FY2023 (+5.5%), $157.7 million in FY2022 (-2.5%) and $161.77 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Non-Current Assets since Q3 2021.
- Year over year, Non-Current Assets has now declined in each of the last nine quarters, with an average decline of 7.4% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q3 2023 (growth of 10.1%); the low point was Q2 2026 (a decline of 8.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $140.33 million (Q1 2026), $143.21 million (Q4 2025) and $146.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 82.81 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 141.07 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 110.20 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 75.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 88.47 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 61.69 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 34.86 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 159.99 Bn |
| 10 | Xeris Biopharma Holdings | 2.89 Bn | 2.41 Bn | 94.80 Mn | 133.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 133.95 Mn |
| Jun 30, 2026 | 137.15 Mn |
| Mar 31, 2026 | 140.33 Mn |
| Dec 31, 2025 | 143.21 Mn |
| Sep 30, 2025 | 146.17 Mn |
| Jun 30, 2025 | 149.11 Mn |
| Mar 31, 2025 | 151.96 Mn |
| Dec 31, 2024 | 155.40 Mn |
| Sep 30, 2024 | 158.31 Mn |
| Jun 30, 2024 | 161.39 Mn |
| Mar 31, 2024 | 163.34 Mn |
| Dec 31, 2023 | 166.34 Mn |
| Sep 30, 2023 | 169.73 Mn |
| Jun 30, 2023 | 173.04 Mn |
| Mar 31, 2023 | 155.85 Mn |
| Dec 31, 2022 | 157.70 Mn |
| Sep 30, 2022 | 154.10 Mn |
| Jun 30, 2022 | 157.41 Mn |
| Mar 31, 2022 | 160.07 Mn |
| Dec 31, 2021 | 161.77 Mn |
API Access
Xeris Biopharma Holdings Non-Current Assets 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=non-current-assets&ticker=XERS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=XERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();