Q32 Bio (QTTB) Assets (2017 - 2026)
Q32 Bio (QTTB) posted Assets of $115.87 million for Q2 2026, up 75.2% from $66.12 million a year earlier and up 82.0% from the prior quarter.
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Analysis
Q32 Bio (QTTB) Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Q32 Bio's Assets came in at $61.78 million, down 33.1% from FY2024.
- Annual Assets shows a five-year compound annual growth rate of -25.2% (FY2020 to FY2025).
- In prior years, Q32 Bio's Assets was $92.33 million in FY2024 (+96.2%), $47.06 million in FY2023 (-79.4%), $228.47 million in FY2022 (+7.9%) and $211.72 million in FY2021 (-19.7%).
- The Q2 2026 figure stands as the highest quarterly Assets since Q2 2024.
- On a year-over-year basis, Assets increased in two of the last eight quarters, with an average decline of 5.8%.
- The strongest year-over-year quarter for Assets in the past five years was Q4 2024, with growth of 96.2%; the weakest was Q4 2023, with a decline of 79.4%.
- According to Business Quant data, Assets for the three prior quarters was $63.68 million (Q1 2026), $61.78 million (Q4 2025) and $57.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 27.42 Bn |
| 10 | Q32 Bio | 196.30 Mn | -77.99 Mn | - | 115.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.87 Mn |
| Mar 31, 2026 | 63.68 Mn |
| Dec 31, 2025 | 61.78 Mn |
| Sep 30, 2025 | 57.78 Mn |
| Jun 30, 2025 | 66.12 Mn |
| Mar 31, 2025 | 79.07 Mn |
| Dec 31, 2024 | 92.33 Mn |
| Sep 30, 2024 | 104.54 Mn |
| Jun 30, 2024 | 124.21 Mn |
| Mar 31, 2024 | 152.33 Mn |
| Dec 31, 2023 | 47.06 Mn |
| Sep 30, 2023 | 140.06 Mn |
| Jun 30, 2023 | 169.34 Mn |
| Mar 31, 2023 | 197.88 Mn |
| Dec 31, 2022 | 228.47 Mn |
| Sep 30, 2022 | 262.65 Mn |
| Jun 30, 2022 | 284.61 Mn |
| Mar 31, 2022 | 310.96 Mn |
| Dec 31, 2021 | 211.72 Mn |
| Sep 30, 2021 | 230.82 Mn |
API Access
Q32 Bio Assets 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=assets&ticker=QTTB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=QTTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();