Aura Biosciences (AURA) Other Non-Current Assets (2020 - 2026)
Aura Biosciences (AURA) posted Other Non-Current Assets of $1.14 million for Q2 2026, up 48.3% from $768,000 a year earlier and up 48.3% from the prior quarter.
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Analysis
Aura Biosciences (AURA) Other Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Aura Biosciences' Other Non-Current Assets came in at $768,000, unchanged from FY2024.
- Annual Other Non-Current Assets shows a five-year compound annual growth rate of 59.2% (FY2020 to FY2025).
- In prior years, Aura Biosciences' Other Non-Current Assets was $768,000 in FY2024 (unchanged), $768,000 in FY2023 (unchanged), $768,000 in FY2022 (+514.4%) and $125,000 in FY2021 (+66.7%).
- The Q2 2026 figure stands as the highest quarterly Other Non-Current Assets in data going back to Q3 2020.
- On a year-over-year basis, Other Non-Current Assets increased in 1 of the last eight quarters, with growth averaging 6.0%.
- The strongest year-over-year quarter for Other Non-Current Assets in the past five years was Q2 2022, with growth of 614.4%; the weakest was Q2 2023, with a decline of 14.0%.
- According to Business Quant data, Other Non-Current Assets for the three prior quarters was $768,000 (Q1 2026), $768,000 (Q4 2025) and $768,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.42 Bn | 1,106.00 Bn | 19.71 Bn | 7.48 Bn |
| 2 | Johnson & Johnson | 617.98 Bn | 536.51 Bn | 17.26 Bn | 14.27 Bn |
| 3 | AbbVie | 502.80 Bn | 475.92 Bn | 12.70 Bn | 10.73 Bn |
| 4 | Merck | 368.67 Bn | 323.05 Bn | 12.21 Bn | 19.60 Bn |
| 5 | Novartis Ag | 298.36 Bn | 262.35 Bn | 11.24 Bn | 5.93 Bn |
| 6 | Astrazeneca | 261.17 Bn | 234.85 Bn | 12.86 Bn | - |
| 7 | Amgen | 237.18 Bn | 192.58 Bn | 7.24 Bn | 12.98 Bn |
| 8 | Gilead Sciences | 191.11 Bn | 165.31 Bn | 6.22 Bn | 4.75 Bn |
| 9 | Pfizer | 169.83 Bn | 116.48 Bn | 10.94 Bn | 9.94 Bn |
| 10 | Aura Biosciences | 610.45 Mn | 350.75 Mn | - | 1.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.91 Mn |
| Mar 31, 2026 | 1.29 Mn |
| Dec 31, 2025 | 1.24 Mn |
| Sep 30, 2025 | 1.05 Mn |
| Jun 30, 2025 | 768,000.00 |
| Mar 31, 2025 | 768,000.00 |
| Dec 31, 2024 | 1.29 Mn |
| Sep 30, 2024 | 768,000.00 |
| Jun 30, 2024 | 768,000.00 |
| Mar 31, 2024 | 768,000.00 |
| Dec 31, 2023 | 1.28 Mn |
| Sep 30, 2023 | 768,000.00 |
| Jun 30, 2023 | 768,000.00 |
| Mar 31, 2023 | 768,000.00 |
| Dec 31, 2022 | 1.19 Mn |
| Sep 30, 2022 | 768,000.00 |
| Jun 30, 2022 | 893,000.00 |
| Mar 31, 2022 | 125,000.00 |
| Dec 31, 2021 | 125,000.00 |
| Sep 30, 2021 | 125,000.00 |
API Access
Aura Biosciences Other Non-Current Assets 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=other-non-current-assets&ticker=AURA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=AURA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();