Tenaya Therapeutics (TNYA) Operating Expenses (2020 - 2026)
Tenaya Therapeutics (TNYA) recorded Operating Expenses of $45.2 million in Q2 2026, up 87.7% from $24.08 million a year earlier and up 122.8% from the prior quarter.
Tenaya Therapeutics (TNYA) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Tenaya Therapeutics' Operating Expenses came in at $107.2 million as of Jun 30, 2026, up 4.1% year-over-year; for FY2025, it came in at $93.33 million, down 19.5% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $115.95 million in FY2024 (-11.6%), $131.19 million in FY2023 (+4.4%), $125.62 million in FY2022 (+72.5%) and $72.81 million in FY2021 (+87.1%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q2 2020.
- On a year-over-year basis, Operating Expenses rose in 1 of the last eight quarters, with an average decline of 6.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 153.5% in Q4 2021, against a decline of 26.3% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $20.29 million (Q1 2026), $20.78 million (Q4 2025) and $20.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Tenaya Therapeutics | 134.54 Mn | 134.54 Mn | - | 45.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.20 Mn |
| Mar 31, 2026 | 20.29 Mn |
| Dec 31, 2025 | 20.78 Mn |
| Sep 30, 2025 | 20.94 Mn |
| Jun 30, 2025 | 24.08 Mn |
| Mar 31, 2025 | 27.54 Mn |
| Dec 31, 2024 | 24.65 Mn |
| Sep 30, 2024 | 26.71 Mn |
| Jun 30, 2024 | 30.82 Mn |
| Mar 31, 2024 | 33.76 Mn |
| Dec 31, 2023 | 31.45 Mn |
| Sep 30, 2023 | 30.92 Mn |
| Jun 30, 2023 | 35.10 Mn |
| Mar 31, 2023 | 33.72 Mn |
| Dec 31, 2022 | 34.55 Mn |
| Sep 30, 2022 | 31.30 Mn |
| Jun 30, 2022 | 28.62 Mn |
| Mar 31, 2022 | 31.15 Mn |
| Dec 31, 2021 | 26.16 Mn |
| Sep 30, 2021 | 18.30 Mn |
Tenaya Therapeutics Operating Expenses 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=operating-expenses&ticker=TNYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TNYA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=TNYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();