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 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 19.00% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 8.08% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 7.32% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 1.87% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.36% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 9.80% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -7.67% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 2.00% |
| 10 | Phathom Pharmaceuticals | 442.66 Mn | -246.70 Mn | 66.36 Mn | -24.43% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -24.43% |
| 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% |
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();