Phathom Pharmaceuticals (PHAT) Accumulated Expenses (2018 - 2026)
Phathom Pharmaceuticals (PHAT) reported Accumulated Expenses of $110.46 million for Q2 2026, up 67.2% from $66.05 million a year earlier and up 30.0% from the prior quarter.
Phathom Pharmaceuticals (PHAT) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Phathom Pharmaceuticals posted Accumulated Expenses of $91.66 million, up 66.8% from FY2024.
- Accumulated Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 53.0% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $54.94 million in FY2024 (+199.5%), $18.34 million in FY2023 (+18.1%), $15.53 million in FY2022 (+30.7%) and $11.88 million in FY2021 (+8.8%).
- The Q2 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q4 2018.
- Year over year, Accumulated Expenses has now increased in each of the last 19 quarters, with growth averaging 117.9% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2024 (growth of 199.5%); the low point was Q3 2021 (a decline of 33.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $84.99 million (Q1 2026), $91.66 million (Q4 2025) and $67.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Phathom Pharmaceuticals | 442.66 Mn | -246.70 Mn | 66.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 122.60 Mn |
| Jun 30, 2026 | 110.46 Mn |
| Mar 31, 2026 | 84.99 Mn |
| Dec 31, 2025 | 91.66 Mn |
| Sep 30, 2025 | 67.11 Mn |
| Jun 30, 2025 | 66.05 Mn |
| Mar 31, 2025 | 44.83 Mn |
| Dec 31, 2024 | 54.94 Mn |
| Sep 30, 2024 | 37.28 Mn |
| Jun 30, 2024 | 28.72 Mn |
| Mar 31, 2024 | 17.85 Mn |
| Dec 31, 2023 | 18.34 Mn |
| Sep 30, 2023 | 14.41 Mn |
| Jun 30, 2023 | 16.38 Mn |
| Mar 31, 2023 | 8.93 Mn |
| Dec 31, 2022 | 15.53 Mn |
| Sep 30, 2022 | 13.98 Mn |
| Jun 30, 2022 | 14.35 Mn |
| Mar 31, 2022 | 8.05 Mn |
| Dec 31, 2021 | 11.88 Mn |
Phathom Pharmaceuticals Accumulated Expenses 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=accumulated-expenses&ticker=PHAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PHAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();