Q32 Bio (QTTB) Non-Current Assets (2017 - 2026)
Q32 Bio (QTTB) posted Non-Current Assets of $6.22 million for Q2 2026, down 20.2% from $7.79 million a year earlier and down 3.9% from the prior quarter.
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Analysis
Q32 Bio (QTTB) Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Q32 Bio's Non-Current Assets came in at $6.73 million, down 35.7% from FY2024.
- Annual Non-Current Assets has declined for three consecutive years, with a five-year compound annual growth rate of -31.4% (FY2020 to FY2025).
- In prior years, Q32 Bio's Non-Current Assets was $10.46 million in FY2024 (-86.0%), $74.46 million in FY2023 (-67.4%), $228.75 million in FY2022 and $19.81 million in FY2021 (-55.1%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets since Q4 2017.
- On a year-over-year basis, Non-Current Assets has declined in each of the last 14 quarters, with an average decline of 43.4% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q3 2022, with growth of 26.8%; the weakest was Q4 2024, with a decline of 86.0%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $6.47 million (Q1 2026), $6.73 million (Q4 2025) and $6.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Q32 Bio | 226.21 Mn | -48.08 Mn | - | 6.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.22 Mn |
| Mar 31, 2026 | 6.47 Mn |
| Dec 31, 2025 | 6.73 Mn |
| Sep 30, 2025 | 6.97 Mn |
| Jun 30, 2025 | 7.79 Mn |
| Mar 31, 2025 | 10.44 Mn |
| Dec 31, 2024 | 10.46 Mn |
| Sep 30, 2024 | 10.64 Mn |
| Jun 30, 2024 | 12.59 Mn |
| Mar 31, 2024 | 14.29 Mn |
| Dec 31, 2023 | 74.46 Mn |
| Sep 30, 2023 | 33.43 Mn |
| Jun 30, 2023 | 38.00 Mn |
| Mar 31, 2023 | 44.30 Mn |
| Dec 31, 2022 | 228.75 Mn |
| Sep 30, 2022 | 49.45 Mn |
| Jun 30, 2022 | 46.17 Mn |
| Mar 31, 2022 | 48.51 Mn |
| Dec 31, 2021 | 19.81 Mn |
| Sep 30, 2021 | 39.00 Mn |
API Access
Q32 Bio Non-Current 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=non-current-assets&ticker=QTTB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=QTTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();