Aura Biosciences (AURA) Selling, General & Administrative (2020 - 2026)
Aura Biosciences' Selling, General & Administrative was $17.32 million in Q2 2026, up 202.2% from $5.73 million a year earlier and up 150.8% from the prior quarter.
Aura Biosciences (AURA) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aura Biosciences' Selling, General & Administrative was $35.29 million through Jun 30, 2026, up 52.8% year-over-year; for FY2025, it came in at $22.49 million, down 1.4% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 40.1% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $22.81 million in FY2024 (+15.5%), $19.76 million in FY2023 (+9.4%), $18.06 million in FY2022 (+79.0%) and $10.09 million in FY2021 (+142.3%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative in data going back to Q3 2020.
- Compared with a year earlier, Selling, General & Administrative was higher in five of the last eight quarters, with growth averaging 32.9%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2021 (growth of 223.9%); the worst was Q3 2025 (a decline of 7.6%).
- Per Business Quant data, AURA's Selling, General & Administrative in the three quarters before Q2 2026 was $6.91 million (Q1 2026), $5.34 million (Q4 2025) and $5.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Aura Biosciences | 625.02 Mn | 365.32 Mn | - | 17.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.32 Mn |
| Mar 31, 2026 | 6.91 Mn |
| Dec 31, 2025 | 5.34 Mn |
| Sep 30, 2025 | 5.73 Mn |
| Jun 30, 2025 | 5.73 Mn |
| Mar 31, 2025 | 5.69 Mn |
| Dec 31, 2024 | 5.47 Mn |
| Sep 30, 2024 | 6.20 Mn |
| Jun 30, 2024 | 5.88 Mn |
| Mar 31, 2024 | 5.26 Mn |
| Dec 31, 2023 | 4.50 Mn |
| Sep 30, 2023 | 5.06 Mn |
| Jun 30, 2023 | 5.16 Mn |
| Mar 31, 2023 | 5.04 Mn |
| Dec 31, 2022 | 4.45 Mn |
| Sep 30, 2022 | 4.76 Mn |
| Jun 30, 2022 | 4.31 Mn |
| Mar 31, 2022 | 4.54 Mn |
| Dec 31, 2021 | 3.65 Mn |
| Sep 30, 2021 | 2.53 Mn |
Aura Biosciences Selling, General & Administrative 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=selling-general-and-administrative&ticker=AURA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=AURA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();