X4 Pharmaceuticals (XFOR) Total Debt (2017 - 2026)
X4 Pharmaceuticals (XFOR) posted Total Debt of $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) Total Debt (2017 - 2026) Analysis & Trends
At the end of FY2025, X4 Pharmaceuticals' Total Debt came in at $76.29 million, up 1.1% from FY2024.
- Annual Total Debt has increased for three consecutive years, with a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- In prior years, X4 Pharmaceuticals' Total Debt was $75.43 million in FY2024 (+38.2%), $54.57 million in FY2023 (+62.3%), $33.62 million in FY2022 (-0.9%) and $33.93 million in FY2021 (+2.3%).
- The Q2 2026 figure stands as the highest quarterly Total Debt in data going back to Q4 2017.
- On a year-over-year basis, Total Debt has increased in each of the last 12 quarters, with growth averaging 15.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was Q2 2024, with growth of 130.2%; the weakest was Q1 2023, with a decline of 2.5%.
- According to Business Quant data, Total Debt for the three prior quarters was $76.52 million (Q1 2026), $76.29 million (Q4 2025) and $76.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 49.04 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 70.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 53.91 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 37.49 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -111.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 57.30 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 26.25 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 63.19 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 | 32.60 Mn |
| Mar 31, 2023 | 32.38 Mn |
| Dec 31, 2022 | 33.62 Mn |
| Sep 30, 2022 | 33.35 Mn |
| Jun 30, 2022 | 33.10 Mn |
| Mar 31, 2022 | 33.22 Mn |
| Dec 31, 2021 | 33.93 Mn |
| Sep 30, 2021 | 33.74 Mn |
API Access
X4 Pharmaceuticals Total 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=total-debt&ticker=XFOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=XFOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();