Xeris Biopharma Holdings (XERS) Total Non-Current Liabilities (2020 - 2026)
Xeris Biopharma Holdings (XERS) reported Total Non-Current Liabilities of $408.92 million for Q2 2026, up 18.1% from $346.24 million a year earlier and up 10.3% from the prior quarter.
Xeris Biopharma Holdings (XERS) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Xeris Biopharma Holdings posted Total Non-Current Liabilities of $361.44 million, up 3.1% from FY2024.
- Total Non-Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $350.71 million in FY2024 (+8.1%), $324.54 million in FY2023 (+18.6%), $273.65 million in FY2022 (+46.6%) and $186.6 million in FY2021 (+57.1%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 16 quarters, with growth averaging 6.7% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 0.9% (Q2 2025) and 71.7% (Q3 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $370.88 million (Q1 2026), $361.44 million (Q4 2025) and $367.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,166.82 Bn | 1,135.41 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 644.52 Bn | 564.38 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 501.88 Bn | 474.99 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 358.72 Bn | 313.10 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 302.27 Bn | 266.26 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 267.62 Bn | 241.31 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 241.67 Bn | 197.07 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 193.09 Bn | 167.28 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 171.60 Bn | 118.24 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Xeris Biopharma Holdings | 1.88 Bn | 1.44 Bn | 79.59 Mn | 408.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 408.92 Mn |
| Mar 31, 2026 | 370.88 Mn |
| Dec 31, 2025 | 361.44 Mn |
| Sep 30, 2025 | 367.66 Mn |
| Jun 30, 2025 | 346.24 Mn |
| Mar 31, 2025 | 345.75 Mn |
| Dec 31, 2024 | 350.71 Mn |
| Sep 30, 2024 | 340.88 Mn |
| Jun 30, 2024 | 342.89 Mn |
| Mar 31, 2024 | 338.71 Mn |
| Dec 31, 2023 | 323.16 Mn |
| Sep 30, 2023 | 315.12 Mn |
| Jun 30, 2023 | 305.57 Mn |
| Mar 31, 2023 | 281.91 Mn |
| Dec 31, 2022 | 273.65 Mn |
| Sep 30, 2022 | 210.92 Mn |
| Jun 30, 2022 | 206.81 Mn |
| Mar 31, 2022 | 208.67 Mn |
| Dec 31, 2021 | 178.04 Mn |
| Sep 30, 2021 | 125.00 Mn |
Xeris Biopharma Holdings Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=XERS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=XERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();