Phathom Pharmaceuticals (PHAT) Other Non-Current Liabilities (2019 - 2026)
Phathom Pharmaceuticals' Other Non-Current Liabilities came in at $3.5 million for Q2 2026, down 69.6% from $11.5 million a year earlier and unchanged from the prior quarter.
Phathom Pharmaceuticals (PHAT) Other Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Phathom Pharmaceuticals' Other Non-Current Liabilities was $4 million, down 65.2% from FY2024.
- Other Non-Current Liabilities carries a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- Going back by year, Other Non-Current Liabilities was $11.5 million in FY2024 (+18.6%), $9.7 million in FY2023 (+29.3%), $7.5 million in FY2022 (unchanged) and $7.5 million in FY2021 (+81.8%).
- The five-year range for quarterly Other Non-Current Liabilities is $3.5 million (Q1 2026) to $11.5 million (Q3 2025).
- Year-over-year, Other Non-Current Liabilities has declined for three consecutive quarters, with an average decline of 13.4% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q2 2022 (growth of 81.8%), and the weakest in Q1 2026 (a decline of 69.6%).
- Business Quant data shows PHAT's Other Non-Current Liabilities at $3.5 million (Q1 2026), $4 million (Q4 2025) and $11.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Phathom Pharmaceuticals | 584.51 Mn | -55.45 Mn | 59.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.50 Mn |
| Mar 31, 2026 | 3.50 Mn |
| Dec 31, 2025 | 4.00 Mn |
| Sep 30, 2025 | 11.50 Mn |
| Jun 30, 2025 | 11.50 Mn |
| Mar 31, 2025 | 11.50 Mn |
| Dec 31, 2024 | 11.50 Mn |
| Sep 30, 2024 | 10.75 Mn |
| Jun 30, 2024 | 10.45 Mn |
| Mar 31, 2024 | 9.70 Mn |
| Dec 31, 2023 | 9.70 Mn |
| Sep 30, 2023 | 7.50 Mn |
| Jun 30, 2023 | 7.50 Mn |
| Mar 31, 2023 | 7.50 Mn |
| Dec 31, 2022 | 7.50 Mn |
| Sep 30, 2022 | 7.50 Mn |
| Jun 30, 2022 | 7.50 Mn |
| Mar 31, 2022 | 7.50 Mn |
| Dec 31, 2021 | 7.50 Mn |
| Sep 30, 2021 | 7.50 Mn |
Phathom Pharmaceuticals Other 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=other-non-current-liabilities&ticker=PHAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=PHAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();