Q32 Bio (QTTB) Cash & Equivalents (2017 - 2026)
Q32 Bio (QTTB) reported Cash & Equivalents of $106.3 million for Q2 2026, up 93.9% from $54.83 million a year earlier and up 109.5% from the prior quarter.
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Analysis
Q32 Bio (QTTB) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Q32 Bio posted Cash & Equivalents of $48.3 million, down 38.1% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -26.1% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $77.97 million in FY2024 (+204.3%), $25.62 million in FY2023 (-24.6%), $33.99 million in FY2022 (-69.2%) and $110.34 million in FY2021 (-49.6%).
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents since Q1 2024.
- Year over year, Cash & Equivalents gained in three of the last eight quarters, with growth averaging 31.4%.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2024 (growth of 386.9%); the low point was Q2 2023 (a decline of 88.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $50.75 million (Q1 2026), $48.3 million (Q4 2025) and $49.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Q32 Bio | 195.35 Mn | -78.94 Mn | - | 106.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.30 Mn |
| Mar 31, 2026 | 50.75 Mn |
| Dec 31, 2025 | 48.30 Mn |
| Sep 30, 2025 | 49.04 Mn |
| Jun 30, 2025 | 54.83 Mn |
| Mar 31, 2025 | 65.48 Mn |
| Dec 31, 2024 | 77.97 Mn |
| Sep 30, 2024 | 89.08 Mn |
| Jun 30, 2024 | 97.66 Mn |
| Mar 31, 2024 | 115.51 Mn |
| Dec 31, 2023 | 25.62 Mn |
| Sep 30, 2023 | 36.26 Mn |
| Jun 30, 2023 | 20.06 Mn |
| Mar 31, 2023 | 31.41 Mn |
| Dec 31, 2022 | 33.99 Mn |
| Sep 30, 2022 | 43.16 Mn |
| Jun 30, 2022 | 176.19 Mn |
| Mar 31, 2022 | 248.13 Mn |
| Dec 31, 2021 | 110.34 Mn |
| Sep 30, 2021 | 97.10 Mn |
API Access
Q32 Bio Cash & Equivalents 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=cash-and-equivalents&ticker=QTTB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=QTTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();