Q32 Bio (QTTB) Total Non-Current Liabilities (2017 - 2026)
Q32 Bio (QTTB) posted Total Non-Current Liabilities of $9.96 million for Q2 2026, down 57.3% from $23.35 million a year earlier and down 42.6% from the prior quarter.
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Analysis
Q32 Bio (QTTB) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Q32 Bio's Total Non-Current Liabilities came in at $19.76 million, down 37.6% from FY2024.
- Annual Total Non-Current Liabilities shows a three-year compound annual growth rate of -19.4% (FY2022 to FY2025).
- In prior years, Q32 Bio's Total Non-Current Liabilities was $31.66 million in FY2024 (-26.1%), $42.84 million in FY2023 (+13.6%) and $37.72 million in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2017.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last seven quarters, with an average decline of 38.3% over the last seven quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2023, with growth of 13.6%; the weakest was Q2 2026, with a decline of 57.3%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $17.36 million (Q1 2026), $19.76 million (Q4 2025) and $21.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Q32 Bio | 278.89 Mn | -235.96 Mn | - | 9.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.53 Mn |
| Jun 30, 2026 | 9.96 Mn |
| Mar 31, 2026 | 17.36 Mn |
| Dec 31, 2025 | 19.76 Mn |
| Sep 30, 2025 | 21.23 Mn |
| Jun 30, 2025 | 23.35 Mn |
| Mar 31, 2025 | 28.09 Mn |
| Dec 31, 2024 | 31.66 Mn |
| Sep 30, 2024 | 31.25 Mn |
| Jun 30, 2024 | 35.70 Mn |
| Mar 31, 2024 | 48.45 Mn |
| Dec 31, 2023 | 174.98 Mn |
| Dec 31, 2019 | 42.52 Mn |
| Sep 30, 2019 | 49.05 Mn |
| Jun 30, 2019 | 46.09 Mn |
| Mar 31, 2019 | 48.17 Mn |
| Dec 31, 2018 | 53.27 Mn |
| Sep 30, 2018 | 46.90 Mn |
| Jun 30, 2018 | 39.85 Mn |
| Mar 31, 2018 | 176.74 Mn |
API Access
Q32 Bio Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=QTTB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=QTTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();