Q32 Bio (QTTB) Return on Assets [ROA] (2018 - 2026)
Q32 Bio's Return on Assets [ROA] was 37.32% in Q2 2026, up 109.37 percentage points from -72.05% a year earlier but down 15.50 percentage points from the prior quarter.
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Analysis
Q32 Bio (QTTB) Return on Assets [ROA] (2018 - 2026) Analysis & Trends
For FY2025, Return on Assets [ROA] at Q32 Bio came in at 38.70%, up 104.86 percentage points from FY2024.
- Return on Assets [ROA] shows a five-year change of +83.52 percentage points (FY2020 to FY2025).
- In earlier years, Return on Assets [ROA] was -66.16% in FY2024 (-27.15 pp), -39.01% in FY2023 (-39.23 pp), 0.22% in FY2022 (+40.50 pp) and -40.28% in FY2021 (+4.53 pp).
- Quarterly Return on Assets [ROA] has moved between -72.05% (Q2 2025) and 52.82% (Q1 2026) over five years.
- Compared with a year earlier, Return on Assets [ROA] has increased for three straight quarters, with an average year-over-year change of +31.87 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Assets [ROA] over five years was Q1 2026 (a gain of 120.90 percentage points); the worst was Q4 2023 (a drop of 56.84 percentage points).
- Per Business Quant data, QTTB's Return on Assets [ROA] in the three quarters before Q2 2026 was 52.82% (Q1 2026), 49.88% (Q4 2025) and -67.95% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 20.64% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 10.47% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 4.65% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.45% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 28.37% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 9.10% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 9.29% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -6.13% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 2.14% |
| 10 | Q32 Bio | 195.83 Mn | -78.47 Mn | - | 37.32% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.32% |
| Mar 31, 2026 | 52.82% |
| Dec 31, 2025 | 49.88% |
| Sep 30, 2025 | -67.95% |
| Jun 30, 2025 | -72.05% |
| Mar 31, 2025 | -68.08% |
| Dec 31, 2024 | -46.84% |
| Sep 30, 2024 | -51.69% |
| Jun 30, 2024 | -40.08% |
| Mar 31, 2024 | -45.84% |
| Dec 31, 2023 | -57.44% |
| Sep 30, 2023 | -39.51% |
| Jun 30, 2023 | -42.95% |
| Mar 31, 2023 | -47.37% |
| Dec 31, 2022 | -0.60% |
| Sep 30, 2022 | -0.18% |
| Jun 30, 2022 | 0.18% |
| Mar 31, 2022 | -0.78% |
| Dec 31, 2021 | -43.28% |
| Sep 30, 2021 | -37.56% |
API Access
Q32 Bio 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=QTTB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "ticker": "QTTB", "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=QTTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();