Phathom Pharmaceuticals (PHAT) Total Non-Current Liabilities (2019 - 2026)
Phathom Pharmaceuticals (PHAT) reported Total Non-Current Liabilities of $667.85 million for Q2 2026, up 3.6% from $644.55 million a year earlier and up 4.6% from the prior quarter.
Phathom Pharmaceuticals (PHAT) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Phathom Pharmaceuticals posted Total Non-Current Liabilities of $693.32 million, up 11.8% from FY2024.
- Total Non-Current Liabilities has increased for six consecutive years, with a five-year compound annual growth rate of 48.3% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $620.4 million in FY2024 (+30.1%), $476.9 million in FY2023 (+105.5%), $232.12 million in FY2022 (+111.5%) and $109.78 million in FY2021 (+13.5%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $103.51 million in Q1 2022 and a high of $693.32 million in Q4 2025.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 24 quarters, with growth averaging 29.5% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 2.8% (Q1 2026) and 171.9% (Q2 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $638.58 million (Q1 2026), $693.32 million (Q4 2025) and $651.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Phathom Pharmaceuticals | 588.51 Mn | -51.44 Mn | 59.18 Mn | 667.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 667.85 Mn |
| Mar 31, 2026 | 638.58 Mn |
| Dec 31, 2025 | 693.32 Mn |
| Sep 30, 2025 | 651.32 Mn |
| Jun 30, 2025 | 644.55 Mn |
| Mar 31, 2025 | 621.08 Mn |
| Dec 31, 2024 | 620.40 Mn |
| Sep 30, 2024 | 563.41 Mn |
| Jun 30, 2024 | 542.76 Mn |
| Mar 31, 2024 | 495.30 Mn |
| Dec 31, 2023 | 476.90 Mn |
| Sep 30, 2023 | 247.27 Mn |
| Jun 30, 2023 | 239.94 Mn |
| Mar 31, 2023 | 226.71 Mn |
| Dec 31, 2022 | 232.12 Mn |
| Sep 30, 2022 | 220.85 Mn |
| Jun 30, 2022 | 213.00 Mn |
| Mar 31, 2022 | 103.51 Mn |
| Dec 31, 2021 | 109.78 Mn |
| Sep 30, 2021 | 117.40 Mn |
Phathom Pharmaceuticals 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=PHAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PHAT", "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=PHAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();