Taysha Gene Therapies (TSHA) Selling, General & Administrative (2020 - 2026)
Taysha Gene Therapies (TSHA) recorded Selling, General & Administrative of $12.15 million in Q2 2026, up 41.3% from $8.6 million a year earlier and up 25.5% from the prior quarter.
Taysha Gene Therapies (TSHA) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a TTM basis, Taysha Gene Therapies' Selling, General & Administrative came in at $38.94 million as of Jun 30, 2026, up 24.4% year-over-year; for FY2025, it was $33.87 million, up 17.0% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 25.0% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $28.95 million in FY2024 (-3.6%), $30.05 million in FY2023 (-19.6%), $37.36 million in FY2022 (-9.6%) and $41.32 million in FY2021 (+272.0%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q1 2020.
- On a year-over-year basis, Selling, General & Administrative has increased for six consecutive quarters, with growth averaging 15.1% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 179.9% in Q3 2021, against a decline of 39.3% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.68 million (Q1 2026), $8.83 million (Q4 2025) and $8.28 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 | Taysha Gene Therapies | 1.51 Bn | 1.51 Bn | - | 12.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.15 Mn |
| Mar 31, 2026 | 9.68 Mn |
| Dec 31, 2025 | 8.83 Mn |
| Sep 30, 2025 | 8.28 Mn |
| Jun 30, 2025 | 8.60 Mn |
| Mar 31, 2025 | 8.16 Mn |
| Dec 31, 2024 | 6.63 Mn |
| Sep 30, 2024 | 7.90 Mn |
| Jun 30, 2024 | 7.34 Mn |
| Mar 31, 2024 | 7.08 Mn |
| Dec 31, 2023 | 6.72 Mn |
| Sep 30, 2023 | 8.59 Mn |
| Jun 30, 2023 | 5.99 Mn |
| Mar 31, 2023 | 8.75 Mn |
| Dec 31, 2022 | 7.34 Mn |
| Sep 30, 2022 | 8.68 Mn |
| Jun 30, 2022 | 9.87 Mn |
| Mar 31, 2022 | 11.47 Mn |
| Dec 31, 2021 | 11.81 Mn |
| Sep 30, 2021 | 11.15 Mn |
Taysha Gene Therapies 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=TSHA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "TSHA", "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=TSHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();