Phathom Pharmaceuticals (PHAT) Return on Assets [ROA] (2019 - 2026)
Phathom Pharmaceuticals' Return on Assets [ROA] was -31.07% in Q2 2026, up 90.17 percentage points from -121.23% a year earlier and up 24.33 percentage points from the prior quarter.
Phathom Pharmaceuticals (PHAT) Return on Assets [ROA] (2019 - 2026) Analysis & Trends
For FY2025, Return on Assets [ROA] at Phathom Pharmaceuticals came in at -69.35%, up 15.05 percentage points from FY2024.
- Return on Assets [ROA] shows a five-year change of -22.58 percentage points (FY2020 to FY2025).
- In earlier years, Return on Assets [ROA] was -84.41% in FY2024 (-14.80 pp), -69.61% in FY2023 (+41.96 pp), -111.57% in FY2022 (-53.03 pp) and -58.54% in FY2021 (-11.77 pp).
- The Q2 2026 figure marks the highest quarterly Return on Assets [ROA] since Q2 2020.
- Compared with a year earlier, Return on Assets [ROA] was higher in two of the last eight quarters, with an average year-over-year change of -0.34 percentage points.
- The best year-over-year quarter for Return on Assets [ROA] over five years was Q2 2026 (a gain of 90.17 percentage points); the worst was Q4 2022 (a drop of 39.88 percentage points).
- Per Business Quant data, PHAT's Return on Assets [ROA] in the three quarters before Q2 2026 was -55.40% (Q1 2026), -88.52% (Q4 2025) and -111.89% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.47% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 4.65% |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.45% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 28.37% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 9.10% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 9.29% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -6.13% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 2.14% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 16.34% |
| 10 | Phathom Pharmaceuticals | 584.51 Mn | -55.45 Mn | 59.18 Mn | -31.07% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -31.07% |
| Mar 31, 2026 | -55.40% |
| Dec 31, 2025 | -88.52% |
| Sep 30, 2025 | -111.89% |
| Jun 30, 2025 | -121.23% |
| Mar 31, 2025 | -102.84% |
| Dec 31, 2024 | -87.36% |
| Sep 30, 2024 | -96.08% |
| Jun 30, 2024 | -87.84% |
| Mar 31, 2024 | -63.97% |
| Dec 31, 2023 | -61.89% |
| Sep 30, 2023 | -70.44% |
| Jun 30, 2023 | -90.37% |
| Mar 31, 2023 | -126.15% |
| Dec 31, 2022 | -107.77% |
| Sep 30, 2022 | -85.92% |
| Jun 30, 2022 | -89.37% |
| Mar 31, 2022 | -87.24% |
| Dec 31, 2021 | -67.89% |
| Sep 30, 2021 | -72.12% |
Phathom Pharmaceuticals Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=PHAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=PHAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();