X4 Pharmaceuticals (XFOR) Non-Current Debt (2017 - 2026)
X4 Pharmaceuticals' Non-Current Debt came in at $76.76 million for Q2 2026, up 1.2% from $75.84 million a year earlier and up 0.3% from the prior quarter.
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Analysis
X4 Pharmaceuticals (XFOR) Non-Current Debt (2017 - 2026) Analysis & Trends
At the end of FY2025, X4 Pharmaceuticals' Non-Current Debt was $76.29 million, up 1.1% from FY2024.
- Non-Current Debt has increased in each of the last three years, with a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- Going back by year, Non-Current Debt was $75.43 million in FY2024 (+38.2%), $54.57 million in FY2023 (+68.9%), $32.3 million in FY2022 (-2.5%) and $33.14 million in FY2021 (-0.1%).
- The Q2 2026 figure represents the highest quarterly Non-Current Debt in data going back to Q4 2017.
- Year-over-year, Non-Current Debt has increased for 14 consecutive quarters, with growth averaging 15.0% over the last eight quarters.
- The fastest year-over-year change in Non-Current Debt over five years came in Q3 2023 (growth of 190.0%), and the weakest in Q3 2022 (a decline of 43.3%).
- Business Quant data shows XFOR's Non-Current Debt at $76.52 million (Q1 2026), $76.29 million (Q4 2025) and $76.06 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 37.34 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 62.48 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 51.08 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -108.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 51.86 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 23.83 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 60.50 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | X4 Pharmaceuticals | 381.56 Mn | -317.13 Mn | 7.19 Mn | 76.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.76 Mn |
| Mar 31, 2026 | 76.52 Mn |
| Dec 31, 2025 | 76.29 Mn |
| Sep 30, 2025 | 76.06 Mn |
| Jun 30, 2025 | 75.84 Mn |
| Mar 31, 2025 | 75.63 Mn |
| Dec 31, 2024 | 75.43 Mn |
| Sep 30, 2024 | 75.22 Mn |
| Jun 30, 2024 | 75.03 Mn |
| Mar 31, 2024 | 54.82 Mn |
| Dec 31, 2023 | 54.57 Mn |
| Sep 30, 2023 | 54.32 Mn |
| Jun 30, 2023 | 31.84 Mn |
| Mar 31, 2023 | 31.83 Mn |
| Dec 31, 2022 | 32.30 Mn |
| Sep 30, 2022 | 18.73 Mn |
| Jun 30, 2022 | 24.49 Mn |
| Mar 31, 2022 | 29.81 Mn |
| Dec 31, 2021 | 33.14 Mn |
| Sep 30, 2021 | 33.04 Mn |
API Access
X4 Pharmaceuticals Non-Current Debt 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-debt&ticker=XFOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "XFOR", "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-debt&ticker=XFOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();