Q32 Bio (QTTB) Debt Ratio (2023 - 2026)
Q32 Bio's Debt Ratio was 0.13 in Q1 2026, down 20.0% from 0.16 a year earlier and down 18.3% from the prior quarter.
Analysis
Q32 Bio (QTTB) Debt Ratio (2023 - 2026) Analysis & Trends
For FY2025, Debt Ratio at Q32 Bio came in at 0.16, up 14.7% from FY2024.
- In earlier years, Debt Ratio was 0.14 in FY2024 (+18.1%) and 0.12 in FY2023.
- The Q1 2026 figure marks the lowest quarterly Debt Ratio since Q3 2024.
- Compared with a year earlier, Debt Ratio was higher in five of the last six quarters, with growth averaging 43.5%.
- Per Business Quant data, QTTB's Debt Ratio in the three quarters before Q1 2026 was 0.16 (Q4 2025), 0.19 (Q3 2025) and 0.19 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 0.24 |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 0.52 |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 0.42 |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 0.31 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 0.00 |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 0.60 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 0.53 |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 0.31 |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Q32 Bio | 196.30 Mn | -77.99 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.13 |
| Dec 31, 2025 | 0.16 |
| Sep 30, 2025 | 0.19 |
| Jun 30, 2025 | 0.19 |
| Mar 31, 2025 | 0.16 |
| Dec 31, 2024 | 0.14 |
| Sep 30, 2024 | 0.12 |
| Jun 30, 2024 | 0.10 |
| Mar 31, 2024 | 0.08 |
| Dec 31, 2023 | 0.12 |
API Access
Q32 Bio Debt Ratio 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=debt-ratio&ticker=QTTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=QTTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();