Aura Biosciences (AURA) Depreciation & Amortization (CF) (2020 - 2026)
Aura Biosciences' Depreciation & Amortization (CF) was $300,000 in Q2 2026, unchanged from $300,000 a year earlier and unchanged from the prior quarter.
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Analysis
Aura Biosciences (AURA) Depreciation & Amortization (CF) (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aura Biosciences' Depreciation & Amortization (CF) was $1.13 million through Jun 30, 2026, down 5.2% year-over-year; for FY2025, it came in at $1.13 million, down 7.7% from FY2024.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $1.22 million in FY2024 (-5.9%), $1.3 million in FY2023 (+8.3%), $1.2 million in FY2022 (+44.4%) and $831,000 in FY2021 (unchanged).
- Quarterly Depreciation & Amortization (CF) has moved between $200,000 (Q3 2021) and $400,000 (Q3 2023) over five years.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q3 2022 (growth of 50.0%); the worst was Q3 2024 (a decline of 25.0%).
- Per Business Quant data, AURA's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $300,000 (Q1 2026), $229,000 (Q4 2025) and $300,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.96 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 194.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 599.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.93 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 98.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 1.62 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 56.50 Mn |
| 10 | Aura Biosciences | 649.85 Mn | 390.16 Mn | - | 300,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 300,000.00 |
| Mar 31, 2026 | 300,000.00 |
| Dec 31, 2025 | 229,000.00 |
| Sep 30, 2025 | 300,000.00 |
| Jun 30, 2025 | 300,000.00 |
| Mar 31, 2025 | 300,000.00 |
| Dec 31, 2024 | 291,000.00 |
| Sep 30, 2024 | 300,000.00 |
| Jun 30, 2024 | 300,000.00 |
| Mar 31, 2024 | 306,000.00 |
| Dec 31, 2023 | 300,000.00 |
| Sep 30, 2023 | 400,000.00 |
| Jun 30, 2023 | 300,000.00 |
| Mar 31, 2023 | 328,000.00 |
| Dec 31, 2022 | 300,000.00 |
| Sep 30, 2022 | 300,000.00 |
| Jun 30, 2022 | 300,000.00 |
| Mar 31, 2022 | 300,000.00 |
| Dec 31, 2021 | 230,000.00 |
| Sep 30, 2021 | 200,000.00 |
API Access
Aura Biosciences Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=AURA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=AURA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();