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 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Phathom Pharmaceuticals | 460.12 Mn | -229.24 Mn | 66.36 Mn | 689.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 689.16 Mn |
| 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 |
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();