Phathom Pharmaceuticals (PHAT) Total Debt (2018 - 2026)
Phathom Pharmaceuticals (PHAT) recorded Total Debt of $164.59 million in Q2 2026, down 19.8% from $205.14 million a year earlier but up 0.6% from the prior quarter.
Phathom Pharmaceuticals (PHAT) Total Debt (2018 - 2026) Analysis & Trends
At the end of FY2025, Phathom Pharmaceuticals reported Total Debt of $209.09 million, up 3.8% from FY2024.
- Annual Total Debt has increased for six straight years, with a five-year compound annual growth rate of 34.8% (FY2020 to FY2025).
- Across earlier years, Total Debt came in at $201.41 million in FY2024 (+46.1%), $137.84 million in FY2023 (+44.7%), $95.26 million in FY2022 (+6.2%) and $89.67 million in FY2021 (+90.8%).
- Quarterly Total Debt has ranged from $88.31 million in Q3 2021 to $209.09 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Debt rose in six of the last eight quarters, with growth averaging 19.9%.
- Peak year-over-year performance for Total Debt in the last five years was growth of 93.8% in Q2 2022, against a decline of 19.8% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $163.68 million (Q1 2026), $209.09 million (Q4 2025) and $207.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 49.50 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 44.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 80.90 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 53.78 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -6.68 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 54.01 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 26.23 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 62.67 Bn |
| 10 | Phathom Pharmaceuticals | 442.66 Mn | -246.70 Mn | 66.36 Mn | 165.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 165.54 Mn |
| Jun 30, 2026 | 164.59 Mn |
| Mar 31, 2026 | 163.68 Mn |
| Dec 31, 2025 | 209.09 Mn |
| Sep 30, 2025 | 207.09 Mn |
| Jun 30, 2025 | 205.14 Mn |
| Mar 31, 2025 | 203.25 Mn |
| Dec 31, 2024 | 201.41 Mn |
| Sep 30, 2024 | 175.73 Mn |
| Jun 30, 2024 | 174.42 Mn |
| Mar 31, 2024 | 149.02 Mn |
| Dec 31, 2023 | 137.84 Mn |
| Sep 30, 2023 | 99.26 Mn |
| Jun 30, 2023 | 97.81 Mn |
| Mar 31, 2023 | 96.64 Mn |
| Dec 31, 2022 | 95.26 Mn |
| Sep 30, 2022 | 93.88 Mn |
| Jun 30, 2022 | 92.43 Mn |
| Mar 31, 2022 | 91.04 Mn |
| Dec 31, 2021 | 89.67 Mn |
Phathom 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=PHAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=PHAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();