Aura Biosciences (AURA) Cash & Equivalents (2020 - 2026)
Aura Biosciences (AURA) reported Cash & Equivalents of $67.84 million for Q2 2026, down 36.8% from $107.37 million a year earlier and down 20.0% from the prior quarter.
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Analysis
Aura Biosciences (AURA) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Aura Biosciences posted Cash & Equivalents of $59.52 million, up 87.8% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 27.8% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $31.69 million in FY2024 (-22.8%), $41.06 million in FY2023 (-66.2%), $121.58 million in FY2022 (-18.4%) and $149.06 million in FY2021 (+752.4%).
- Five-year quarterly Cash & Equivalents spans a low of $25.41 million in Q3 2024 and a high of $149.06 million in Q4 2021.
- Year over year, Cash & Equivalents gained in five of the last eight quarters, with growth averaging 60.7%.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2021 (growth of 752.4%); the low point was Q4 2023 (a decline of 66.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $84.79 million (Q1 2026), $59.52 million (Q4 2025) and $47.55 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 6.14 Bn |
| 10 | Aura Biosciences | 649.85 Mn | 390.16 Mn | - | 67.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.84 Mn |
| Mar 31, 2026 | 84.79 Mn |
| Dec 31, 2025 | 59.52 Mn |
| Sep 30, 2025 | 47.55 Mn |
| Jun 30, 2025 | 107.37 Mn |
| Mar 31, 2025 | 38.23 Mn |
| Dec 31, 2024 | 31.69 Mn |
| Sep 30, 2024 | 25.41 Mn |
| Jun 30, 2024 | 30.08 Mn |
| Mar 31, 2024 | 26.28 Mn |
| Dec 31, 2023 | 41.06 Mn |
| Sep 30, 2023 | 55.58 Mn |
| Jun 30, 2023 | 47.73 Mn |
| Mar 31, 2023 | 38.49 Mn |
| Dec 31, 2022 | 121.58 Mn |
| Sep 30, 2022 | 61.11 Mn |
| Jun 30, 2022 | 53.85 Mn |
| Mar 31, 2022 | 108.38 Mn |
| Dec 31, 2021 | 149.06 Mn |
| Sep 30, 2021 | 81.83 Mn |
API Access
Aura Biosciences 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=AURA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "AURA", "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=AURA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();