Phathom Pharmaceuticals (PHAT) Total Current Liabilities (2018 - 2026)
Phathom Pharmaceuticals (PHAT) reported Total Current Liabilities of $153.78 million for Q2 2026, up 67.5% from $91.82 million a year earlier and up 23.0% from the prior quarter.
Phathom Pharmaceuticals (PHAT) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Phathom Pharmaceuticals posted Total Current Liabilities of $132.04 million, up 54.0% from FY2024.
- Total Current Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $85.73 million in FY2024 (+121.1%), $38.78 million in FY2023 (+47.8%), $26.24 million in FY2022 (+38.7%) and $18.92 million in FY2021 (-65.9%).
- The Q2 2026 figure ranks as the highest quarterly Total Current Liabilities since Q3 2019.
- Year over year, Total Current Liabilities has now increased in each of the last 15 quarters, with growth averaging 86.5% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q1 2024 (growth of 200.9%); the low point was Q1 2022 (a decline of 72.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $125.04 million (Q1 2026), $132.04 million (Q4 2025) and $93.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Phathom Pharmaceuticals | 588.51 Mn | -51.44 Mn | 59.18 Mn | 153.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.78 Mn |
| Mar 31, 2026 | 125.04 Mn |
| Dec 31, 2025 | 132.04 Mn |
| Sep 30, 2025 | 93.12 Mn |
| Jun 30, 2025 | 91.82 Mn |
| Mar 31, 2025 | 74.03 Mn |
| Dec 31, 2024 | 85.73 Mn |
| Sep 30, 2024 | 65.29 Mn |
| Jun 30, 2024 | 47.01 Mn |
| Mar 31, 2024 | 43.46 Mn |
| Dec 31, 2023 | 38.78 Mn |
| Sep 30, 2023 | 23.98 Mn |
| Jun 30, 2023 | 21.55 Mn |
| Mar 31, 2023 | 14.44 Mn |
| Dec 31, 2022 | 26.24 Mn |
| Sep 30, 2022 | 22.88 Mn |
| Jun 30, 2022 | 21.08 Mn |
| Mar 31, 2022 | 11.39 Mn |
| Dec 31, 2021 | 18.92 Mn |
| Sep 30, 2021 | 27.81 Mn |
Phathom Pharmaceuticals Total 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-current-liabilities&ticker=PHAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=PHAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();