Q32 Bio (QTTB) Non-Current Debt (2023 - 2026)
Q32 Bio's Non-Current Debt came in at $1.94 million for Q1 2026, down 75.9% from $8.04 million a year earlier and down 44.2% from the prior quarter.
Powered by 
Analysis
Q32 Bio (QTTB) Non-Current Debt (2023 - 2026) Analysis & Trends
At the end of FY2025, Q32 Bio's Non-Current Debt was $3.47 million, down 63.7% from FY2024.
- Going back by year, Non-Current Debt was $9.56 million in FY2024 (+108.6%) and $4.58 million in FY2023.
- The Q1 2026 figure represents the lowest quarterly Non-Current Debt in data going back to Q4 2023.
- Year-over-year, Non-Current Debt has declined for five consecutive quarters, with an average decline of 24.7% over the last six quarters.
- Business Quant data shows QTTB's Non-Current Debt at $3.47 million (Q4 2025), $5 million (Q3 2025) and $6.52 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 47.86 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 37.34 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 62.48 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 51.08 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 23.68 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 51.86 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 23.83 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 60.50 Bn |
| 10 | Q32 Bio | 176.77 Mn | -97.52 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.94 Mn |
| Dec 31, 2025 | 3.47 Mn |
| Sep 30, 2025 | 5.00 Mn |
| Jun 30, 2025 | 6.52 Mn |
| Mar 31, 2025 | 8.04 Mn |
| Dec 31, 2024 | 9.56 Mn |
| Sep 30, 2024 | 11.07 Mn |
| Jun 30, 2024 | 12.55 Mn |
| Mar 31, 2024 | 9.40 Mn |
| Dec 31, 2023 | 4.58 Mn |
API Access
Q32 Bio Non-Current Debt 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-debt&ticker=QTTB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-debt&ticker=QTTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();