Q32 Bio (QTTB) Property, Plant & Equipment (Net) (2017 - 2026)
Q32 Bio (QTTB) recorded Property, Plant & Equipment (Net) of $804,000 in Q2 2026, down 30.7% from $1.16 million a year earlier and down 9.6% from the prior quarter.
Q32 Bio (QTTB) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
At the end of FY2025, Q32 Bio reported Property, Plant & Equipment (Net) of $979,000, down 28.5% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -51.6% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $1.37 million in FY2024 (-23.1%), $1.78 million in FY2023 (+65.3%), $1.08 million in FY2022 (-52.1%) and $2.25 million in FY2021 (-93.9%).
- The Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2017.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for seven consecutive quarters, with an average decline of 27.0% over the last seven quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 83.8% in Q2 2024, against a decline of 95.7% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $889,000 (Q1 2026), $979,000 (Q4 2025) and $1.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 32.19 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.10 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 5.94 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 25.90 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 14.06 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 8.88 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 5.95 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 19.05 Bn |
| 10 | Q32 Bio | 278.89 Mn | -235.96 Mn | - | 827,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 827,000.00 |
| Jun 30, 2026 | 804,000.00 |
| Mar 31, 2026 | 889,000.00 |
| Dec 31, 2025 | 979,000.00 |
| Sep 30, 2025 | 1.07 Mn |
| Jun 30, 2025 | 1.16 Mn |
| Mar 31, 2025 | 1.25 Mn |
| Dec 31, 2024 | 1.37 Mn |
| Sep 30, 2024 | 1.49 Mn |
| Jun 30, 2024 | 1.55 Mn |
| Mar 31, 2024 | 1.66 Mn |
| Dec 31, 2023 | 1.78 Mn |
| Jun 30, 2023 | 845,000.00 |
| Mar 31, 2023 | 1.06 Mn |
| Dec 31, 2022 | 1.08 Mn |
| Sep 30, 2022 | 1.42 Mn |
| Jun 30, 2022 | 1.72 Mn |
| Mar 31, 2022 | 1.99 Mn |
| Dec 31, 2021 | 2.25 Mn |
| Sep 30, 2021 | 32.70 Mn |
Q32 Bio Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=QTTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=QTTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();