Dolby Laboratories (DLB) Accumulated Expenses (2009 - 2026)
Dolby Laboratories (DLB) recorded Accumulated Expenses of $360.41 million in fiscal Q3 2026 (quarter ended Jun 26, 2026), up 13.5% from $317.42 million a year earlier but down 11.1% from the prior quarter.
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Analysis
Dolby Laboratories (DLB) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 26, 2025), Dolby Laboratories reported Accumulated Expenses of $369.26 million, up 6.3% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- Across earlier fiscal years, Accumulated Expenses came in at $347.53 million in FY2024 (-1.1%), $351.4 million in FY2023 (+52.6%), $230.24 million in FY2022 (-12.4%) and $262.73 million in FY2021 (+19.4%).
- Quarterly Accumulated Expenses has ranged from $225.85 million in fiscal Q1 2022 to $405.2 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for seven consecutive quarters, with growth averaging 7.2% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 52.6% in fiscal Q4 2023, against a decline of 19.0% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $405.2 million (Q2 2026), $376.21 million (Q1 2026) and $369.26 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,166.74 Bn | 4,940.90 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,150.13 Bn | 1,774.99 Bn | 27.22 Bn |
| 3 | Broadcom | 1,545.07 Bn | 1,471.11 Bn | 20.46 Bn |
| 4 | Micron Technology | 987.68 Bn | 893.32 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 836.38 Bn | 793.12 Bn | 6.20 Bn |
| 6 | Asml Holding | 619.07 Bn | 574.76 Bn | 5.90 Bn |
| 7 | Intel | 445.73 Bn | 314.87 Bn | 6.51 Bn |
| 8 | Applied Materials | 301.95 Bn | 267.39 Bn | 4.59 Bn |
| 9 | Lam Research | 293.56 Bn | 270.36 Bn | 3.48 Bn |
| 10 | Dolby Laboratories | 5.93 Bn | 3.32 Bn | 264.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 360.41 Mn |
| Mar 27, 2026 | 405.20 Mn |
| Dec 26, 2025 | 376.21 Mn |
| Sep 26, 2025 | 369.26 Mn |
| Jun 27, 2025 | 317.42 Mn |
| Mar 28, 2025 | 376.50 Mn |
| Dec 27, 2024 | 360.92 Mn |
| Sep 27, 2024 | 347.53 Mn |
| Jun 28, 2024 | 280.61 Mn |
| Mar 29, 2024 | 362.88 Mn |
| Dec 29, 2023 | 327.19 Mn |
| Sep 29, 2023 | 351.40 Mn |
| Jun 30, 2023 | 346.53 Mn |
| Mar 31, 2023 | 246.76 Mn |
| Dec 30, 2022 | 230.35 Mn |
| Sep 30, 2022 | 230.24 Mn |
| Jul 1, 2022 | 229.27 Mn |
| Apr 1, 2022 | 228.55 Mn |
| Dec 31, 2021 | 225.85 Mn |
| Sep 24, 2021 | 262.73 Mn |
API Access
Dolby Laboratories 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=DLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=DLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();