Sana Biotechnology (SANA) Selling, General & Administrative (2020 - 2026)
Sana Biotechnology (SANA) recorded Selling, General & Administrative of $10.78 million in Q2 2026, up 4.2% from $10.34 million a year earlier but down 6.0% from the prior quarter.
Sana Biotechnology (SANA) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a TTM basis, Sana Biotechnology's Selling, General & Administrative came in at $44.71 million as of Jun 30, 2026, down 15.9% year-over-year; for FY2025, it came in at $44.3 million, down 30.8% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $64.04 million in FY2024 (-12.6%), $73.3 million in FY2023 (+2.4%), $71.56 million in FY2022 (+42.0%) and $50.41 million in FY2021 (+78.3%).
- Quarterly Selling, General & Administrative has ranged from $10.29 million in Q3 2025 to $23.32 million in Q4 2022 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in 1 of the last eight quarters, with an average decline of 20.3%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 89.2% in Q3 2021, against a decline of 37.1% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $11.46 million (Q1 2026), $12.19 million (Q4 2025) and $10.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Sana Biotechnology | 864.99 Mn | 864.99 Mn | - | 10.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.78 Mn |
| Mar 31, 2026 | 11.46 Mn |
| Dec 31, 2025 | 12.19 Mn |
| Sep 30, 2025 | 10.29 Mn |
| Jun 30, 2025 | 10.34 Mn |
| Mar 31, 2025 | 11.48 Mn |
| Dec 31, 2024 | 17.28 Mn |
| Sep 30, 2024 | 14.05 Mn |
| Jun 30, 2024 | 16.44 Mn |
| Mar 31, 2024 | 16.27 Mn |
| Dec 31, 2023 | 20.78 Mn |
| Sep 30, 2023 | 19.18 Mn |
| Jun 30, 2023 | 16.57 Mn |
| Mar 31, 2023 | 16.77 Mn |
| Dec 31, 2022 | 23.32 Mn |
| Sep 30, 2022 | 15.51 Mn |
| Jun 30, 2022 | 18.29 Mn |
| Mar 31, 2022 | 14.43 Mn |
| Dec 31, 2021 | 12.68 Mn |
| Sep 30, 2021 | 13.43 Mn |
Sana Biotechnology 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=SANA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "SANA", "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=SANA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();