Q32 Bio (QTTB) Total Current Liabilities (2017 - 2026)
Q32 Bio (QTTB) posted Total Current Liabilities of $5.4 million for Q2 2026, down 53.2% from $11.53 million a year earlier and down 49.4% from the prior quarter.
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Analysis
Q32 Bio (QTTB) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Q32 Bio's Total Current Liabilities came in at $11.35 million, down 31.1% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -12.9% (FY2020 to FY2025).
- In prior years, Q32 Bio's Total Current Liabilities was $16.47 million in FY2024 (+16.7%), $14.11 million in FY2023 (-37.5%), $22.58 million in FY2022 (+31.1%) and $17.23 million in FY2021 (-24.0%).
- The Q2 2026 figure stands as the lowest quarterly Total Current Liabilities in data going back to Q4 2017.
- On a year-over-year basis, Total Current Liabilities has declined in each of the last six quarters, with an average decline of 31.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2024, with growth of 78.1%; the weakest was Q1 2025, with a decline of 55.8%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $10.67 million (Q1 2026), $11.35 million (Q4 2025) and $11.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Q32 Bio | 226.21 Mn | -48.08 Mn | - | 5.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.40 Mn |
| Mar 31, 2026 | 10.67 Mn |
| Dec 31, 2025 | 11.35 Mn |
| Sep 30, 2025 | 11.11 Mn |
| Jun 30, 2025 | 11.53 Mn |
| Mar 31, 2025 | 14.58 Mn |
| Dec 31, 2024 | 16.47 Mn |
| Sep 30, 2024 | 14.38 Mn |
| Jun 30, 2024 | 17.19 Mn |
| Mar 31, 2024 | 32.95 Mn |
| Dec 31, 2023 | 14.11 Mn |
| Sep 30, 2023 | 25.29 Mn |
| Jun 30, 2023 | 22.94 Mn |
| Mar 31, 2023 | 18.51 Mn |
| Dec 31, 2022 | 22.58 Mn |
| Sep 30, 2022 | 25.25 Mn |
| Jun 30, 2022 | 20.73 Mn |
| Mar 31, 2022 | 20.80 Mn |
| Dec 31, 2021 | 17.23 Mn |
| Sep 30, 2021 | 18.71 Mn |
API Access
Q32 Bio Total 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-current-liabilities&ticker=QTTB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=QTTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();