Q32 Bio (QTTB) Selling, General & Administrative (2017 - 2026)
Q32 Bio (QTTB) reported Selling, General & Administrative of $4.86 million for Q2 2026, up 21.2% from $4.01 million a year earlier and up 7.9% from the prior quarter.
Q32 Bio (QTTB) Selling, General & Administrative (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Q32 Bio's Selling, General & Administrative came in at $17.93 million, up 2.1% year-over-year; for FY2025, it was $17.68 million, down 1.6% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -11.5% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $17.96 million in FY2024 (+81.9%), $9.88 million in FY2023 (-74.1%), $38.14 million in FY2022 (+3.5%) and $36.84 million in FY2021 (+13.1%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q1 2025.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with growth averaging 18.7%.
- The high point for year-over-year Selling, General & Administrative in five years was Q1 2024 (growth of 107.6%); the low point was Q1 2023 (a decline of 83.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.5 million (Q1 2026), $4.54 million (Q4 2025) and $4.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Q32 Bio | 195.35 Mn | -78.94 Mn | - | 4.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.86 Mn |
| Mar 31, 2026 | 4.50 Mn |
| Dec 31, 2025 | 4.54 Mn |
| Sep 30, 2025 | 4.02 Mn |
| Jun 30, 2025 | 4.01 Mn |
| Mar 31, 2025 | 5.10 Mn |
| Dec 31, 2024 | 3.98 Mn |
| Sep 30, 2024 | 4.47 Mn |
| Jun 30, 2024 | 4.51 Mn |
| Mar 31, 2024 | 5.00 Mn |
| Dec 31, 2023 | 2.81 Mn |
| Sep 30, 2023 | 2.19 Mn |
| Jun 30, 2023 | 2.46 Mn |
| Mar 31, 2023 | 2.41 Mn |
| Dec 31, 2022 | 8.15 Mn |
| Sep 30, 2022 | 7.81 Mn |
| Jun 30, 2022 | 8.03 Mn |
| Mar 31, 2022 | 14.15 Mn |
| Dec 31, 2021 | 10.78 Mn |
| Sep 30, 2021 | 8.35 Mn |
Q32 Bio Selling, General & Administrative 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=selling-general-and-administrative&ticker=QTTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=QTTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();