Dolby Laboratories (DLB) Operating Expenses (2009 - 2026)
Dolby Laboratories (DLB) recorded Operating Expenses of $230.36 million in fiscal Q3 2026 (quarter ended Jun 26, 2026), up 2.9% from $223.91 million a year earlier but down 3.2% from the prior quarter.
Dolby Laboratories (DLB) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Dolby Laboratories' Operating Expenses came in at $947.48 million as of Jun 26, 2026, up 4.0% year-over-year; for FY2025 (ended Sep 26, 2025), it came in at $924.04 million, up 5.6% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $874.9 million in FY2024 (-6.1%), $931.43 million in FY2023 (+2.8%), $905.83 million in FY2022 (+12.3%) and $806.84 million in FY2021 (+1.3%).
- Quarterly Operating Expenses has ranged from $206.38 million in fiscal Q1 2023 to $258.5 million in fiscal Q4 2023 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for seven consecutive quarters, with growth averaging 2.4% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 25.3% in fiscal Q2 2022, against a decline of 13.2% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $237.95 million (Q2 2026), $241.34 million (Q1 2026) and $237.83 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,235.65 Bn | 5,009.82 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,206.84 Bn | 1,831.70 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,595.23 Bn | 1,521.27 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,011.16 Bn | 916.79 Bn | 47.05 Bn | 2.77 Bn |
| 5 | Advanced Micro Devices | 874.75 Bn | 831.50 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 634.65 Bn | 590.34 Bn | 5.90 Bn | - |
| 7 | Intel | 469.01 Bn | 338.14 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 331.52 Bn | 308.31 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 321.88 Bn | 287.32 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Dolby Laboratories | 5.87 Bn | 3.26 Bn | 264.68 Mn | 230.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 230.36 Mn |
| Mar 27, 2026 | 237.95 Mn |
| Dec 26, 2025 | 241.34 Mn |
| Sep 26, 2025 | 237.83 Mn |
| Jun 27, 2025 | 223.91 Mn |
| Mar 28, 2025 | 225.96 Mn |
| Dec 27, 2024 | 236.35 Mn |
| Sep 27, 2024 | 224.46 Mn |
| Jun 28, 2024 | 216.37 Mn |
| Mar 29, 2024 | 216.78 Mn |
| Dec 29, 2023 | 217.29 Mn |
| Sep 29, 2023 | 258.50 Mn |
| Jun 30, 2023 | 240.92 Mn |
| Mar 31, 2023 | 225.62 Mn |
| Dec 30, 2022 | 206.38 Mn |
| Sep 30, 2022 | 213.92 Mn |
| Jul 1, 2022 | 208.06 Mn |
| Apr 1, 2022 | 255.51 Mn |
| Dec 31, 2021 | 228.34 Mn |
| Sep 24, 2021 | 213.96 Mn |
Dolby Laboratories 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=DLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DLB", "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=DLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();