Tenaya Therapeutics (TNYA) Accumulated Expenses (2020 - 2026)
Tenaya Therapeutics (TNYA) posted Accumulated Expenses of $7.51 million for Q2 2026, up 15.2% from $6.52 million a year earlier and up 24.6% from the prior quarter.
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Analysis
Tenaya Therapeutics (TNYA) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Tenaya Therapeutics' Accumulated Expenses came in at $8.84 million, up 10.0% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 22.8% (FY2020 to FY2025).
- In prior years, Tenaya Therapeutics' Accumulated Expenses was $8.04 million in FY2024 (-37.1%), $12.78 million in FY2023 (+19.9%), $10.66 million in FY2022 (+17.7%) and $9.06 million in FY2021 (+186.6%).
- Quarterly Accumulated Expenses has run from a low of $5.61 million in Q3 2021 to a high of $12.78 million in Q4 2023 over five years.
- On a year-over-year basis, Accumulated Expenses increased in three of the last eight quarters, with an average decline of 12.1%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2022, with growth of 202.2%; the weakest was Q4 2024, with a decline of 37.1%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $6.03 million (Q1 2026), $8.84 million (Q4 2025) and $7.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Tenaya Therapeutics | 134.54 Mn | 134.54 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.51 Mn |
| Mar 31, 2026 | 6.03 Mn |
| Dec 31, 2025 | 8.84 Mn |
| Sep 30, 2025 | 7.44 Mn |
| Jun 30, 2025 | 6.52 Mn |
| Mar 31, 2025 | 6.29 Mn |
| Dec 31, 2024 | 8.04 Mn |
| Sep 30, 2024 | 7.33 Mn |
| Jun 30, 2024 | 9.03 Mn |
| Mar 31, 2024 | 8.44 Mn |
| Dec 31, 2023 | 12.78 Mn |
| Sep 30, 2023 | 10.32 Mn |
| Jun 30, 2023 | 8.99 Mn |
| Mar 31, 2023 | 8.15 Mn |
| Dec 31, 2022 | 10.66 Mn |
| Sep 30, 2022 | 8.39 Mn |
| Jun 30, 2022 | 9.50 Mn |
| Mar 31, 2022 | 8.13 Mn |
| Dec 31, 2021 | 9.06 Mn |
| Sep 30, 2021 | 5.61 Mn |
API Access
Tenaya Therapeutics Accumulated 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=accumulated-expenses&ticker=TNYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=TNYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();