Denali Therapeutics (DNLI) Operating Expenses (2017 - 2026)
Denali Therapeutics (DNLI) recorded Operating Expenses of $134.15 million in Q2 2026, down 0.6% from $134.96 million a year earlier and down 2.3% from the prior quarter.
Denali Therapeutics (DNLI) Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Denali Therapeutics' Operating Expenses came in at $546.3 million as of Jun 30, 2026, up 2.4% year-over-year; for FY2025, it was $555.34 million, up 10.7% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $501.88 million in FY2024 (-4.8%), $527.23 million in FY2023 (+17.4%), $449.21 million in FY2022 (+30.4%) and $344.41 million in FY2021 (+26.2%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q4 2024.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 5.2%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 43.6% in Q1 2023, against a decline of 15.2% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $137.36 million (Q1 2026), $137.37 million (Q4 2025) and $137.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Denali Therapeutics | 3.35 Bn | 3.35 Bn | 3.51 Mn | 134.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 134.15 Mn |
| Mar 31, 2026 | 137.36 Mn |
| Dec 31, 2025 | 137.37 Mn |
| Sep 30, 2025 | 137.43 Mn |
| Jun 30, 2025 | 134.96 Mn |
| Mar 31, 2025 | 145.58 Mn |
| Dec 31, 2024 | 129.85 Mn |
| Sep 30, 2024 | 123.19 Mn |
| Jun 30, 2024 | 116.59 Mn |
| Mar 31, 2024 | 132.25 Mn |
| Dec 31, 2023 | 132.57 Mn |
| Sep 30, 2023 | 115.06 Mn |
| Jun 30, 2023 | 123.64 Mn |
| Mar 31, 2023 | 155.96 Mn |
| Dec 31, 2022 | 115.63 Mn |
| Sep 30, 2022 | 111.05 Mn |
| Jun 30, 2022 | 113.90 Mn |
| Mar 31, 2022 | 108.64 Mn |
| Dec 31, 2021 | 89.64 Mn |
| Sep 30, 2021 | 90.88 Mn |
Denali 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=DNLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DNLI", "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=DNLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();