Xeris Biopharma Holdings (XERS) Debt Ratio (2023 - 2026)
Xeris Biopharma Holdings' Debt Ratio came in at 0.61 for Q2 2026, down 6.1% from 0.65 a year earlier but up 8.7% from the prior quarter.
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Analysis
Xeris Biopharma Holdings (XERS) Debt Ratio (2023 - 2026) Analysis & Trends
For FY2025, Xeris Biopharma Holdings' Debt Ratio was 0.57, down 20.0% from FY2024.
- Going back by year, Debt Ratio was 0.72 in FY2024 (+21.4%) and 0.59 in FY2023.
- The five-year range for quarterly Debt Ratio is 0.05 (Q3 2024) to 0.73 (Q1 2025).
- Year-over-year, Debt Ratio has declined for three consecutive quarters, with an average decline of 6.8% over the last four quarters.
- Business Quant data shows XERS's Debt Ratio at 0.56 (Q1 2026), 0.57 (Q4 2025) and 0.59 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 0.24 |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 0.52 |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 0.42 |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 0.31 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 0.00 |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 0.60 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 0.53 |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 0.31 |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Xeris Biopharma Holdings | 1.66 Bn | 1.22 Bn | 79.59 Mn | 0.61 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.61 |
| Mar 31, 2026 | 0.56 |
| Dec 31, 2025 | 0.57 |
| Sep 30, 2025 | 0.59 |
| Jun 30, 2025 | 0.65 |
| Mar 31, 2025 | 0.73 |
| Dec 31, 2024 | 0.72 |
| Sep 30, 2024 | 0.05 |
| Dec 31, 2023 | 0.59 |
API Access
Xeris Biopharma Holdings Debt Ratio 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=debt-ratio&ticker=XERS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=XERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();