Q32 Bio (QTTB) Accumulated Expenses (2017 - 2026)
Q32 Bio's Accumulated Expenses came in at $3.84 million for Q2 2026, down 12.7% from $4.4 million a year earlier but up 1.6% from the prior quarter.
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Analysis
Q32 Bio (QTTB) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Q32 Bio's Accumulated Expenses was $4.23 million, down 43.4% from FY2024.
- Accumulated Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -15.5% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $7.48 million in FY2024 (-23.4%), $9.76 million in FY2023 (-47.8%), $18.72 million in FY2022 (+64.1%) and $11.41 million in FY2021 (+16.4%).
- The five-year range for quarterly Accumulated Expenses is $3.78 million (Q1 2026) to $19.83 million (Q1 2024).
- Year-over-year, Accumulated Expenses has declined for nine consecutive quarters, with an average decline of 42.6% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q1 2023 (growth of 104.4%), and the weakest in Q1 2025 (a decline of 73.4%).
- Business Quant data shows QTTB's Accumulated Expenses at $3.78 million (Q1 2026), $4.23 million (Q4 2025) and $3.91 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Q32 Bio | 195.83 Mn | -78.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.84 Mn |
| Mar 31, 2026 | 3.78 Mn |
| Dec 31, 2025 | 4.23 Mn |
| Sep 30, 2025 | 3.91 Mn |
| Jun 30, 2025 | 4.40 Mn |
| Mar 31, 2025 | 5.27 Mn |
| Dec 31, 2024 | 7.48 Mn |
| Sep 30, 2024 | 8.91 Mn |
| Jun 30, 2024 | 11.02 Mn |
| Mar 31, 2024 | 19.83 Mn |
| Dec 31, 2023 | 9.76 Mn |
| Sep 30, 2023 | 15.71 Mn |
| Jun 30, 2023 | 17.85 Mn |
| Mar 31, 2023 | 12.89 Mn |
| Dec 31, 2022 | 18.72 Mn |
| Sep 30, 2022 | 16.97 Mn |
| Jun 30, 2022 | 12.94 Mn |
| Mar 31, 2022 | 6.31 Mn |
| Dec 31, 2021 | 11.41 Mn |
| Sep 30, 2021 | 10.02 Mn |
API Access
Q32 Bio Accumulated Expenses 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=accumulated-expenses&ticker=QTTB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=QTTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();