Dolby Laboratories (DLB) Capital Expenditures (2009 - 2026)
Dolby Laboratories (DLB) recorded Capital Expenditures of $14.99 million in fiscal Q3 2026 (quarter ended Jun 26, 2026), up 133.2% from $6.43 million a year earlier and up 65.4% from the prior quarter.
Dolby Laboratories (DLB) Capital Expenditures (2009 - 2026) Analysis & Trends
On a TTM basis, Dolby Laboratories' Capital Expenditures came in at $44.93 million as of Jun 26, 2026, up 63.5% year-over-year; for FY2025 (ended Sep 26, 2025), it was $36.35 million, up 21.1% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of -11.3% (FY2020 to FY2025).
- Across earlier fiscal years, Capital Expenditures came in at $30.01 million in FY2024 (-1.1%), $30.34 million in FY2023 (-36.7%), $47.93 million in FY2022 (-12.0%) and $54.45 million in FY2021 (-17.9%).
- Quarterly Capital Expenditures has ranged from $4.63 million in fiscal Q1 2026 to $16.24 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in four of the last eight quarters, with growth averaging 27.0%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 133.2% in fiscal Q3 2026, against a decline of 50.1% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $9.06 million (Q2 2026), $4.63 million (Q1 2026) and $16.24 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 2.68 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 532.00 Mn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 7.83 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 808.00 Mn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | - |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 2.56 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 188.80 Mn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 707.00 Mn |
| 10 | Dolby Laboratories | 5.48 Bn | 2.88 Bn | 264.68 Mn | 14.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | 14.99 Mn |
| Mar 27, 2026 | 9.06 Mn |
| Dec 26, 2025 | 4.63 Mn |
| Sep 26, 2025 | 16.24 Mn |
| Jun 27, 2025 | 6.43 Mn |
| Mar 28, 2025 | 6.90 Mn |
| Dec 27, 2024 | 6.78 Mn |
| Sep 27, 2024 | 7.38 Mn |
| Jun 28, 2024 | 7.61 Mn |
| Mar 29, 2024 | 8.92 Mn |
| Dec 29, 2023 | 6.10 Mn |
| Sep 29, 2023 | 8.19 Mn |
| Jun 30, 2023 | 7.41 Mn |
| Mar 31, 2023 | 7.52 Mn |
| Dec 30, 2022 | 7.22 Mn |
| Sep 30, 2022 | 10.71 Mn |
| Jul 1, 2022 | 11.17 Mn |
| Apr 1, 2022 | 11.60 Mn |
| Dec 31, 2021 | 14.45 Mn |
| Sep 24, 2021 | 11.84 Mn |
Dolby Laboratories Capital Expenditures 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=capital-expenditures&ticker=DLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=DLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();