Dolby Laboratories (DLB) Change in Accured Expenses (2009 - 2026)
Dolby Laboratories (DLB) recorded Change in Accured Expenses of -$47.26 million in fiscal Q3 2026 (quarter ended Jun 26, 2026), compared with -$76.25 million a year earlier.
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Analysis
Dolby Laboratories (DLB) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Dolby Laboratories' Change in Accured Expenses came in at $107.44 million as of Jun 26, 2026; for FY2025 (ended Sep 26, 2025), it came in at $22.85 million.
- Across earlier fiscal years, Change in Accured Expenses came in at -$34.55 million in FY2024, -$52.32 million in FY2023, -$33.54 million in FY2022 and $44.23 million in FY2021.
- Quarterly Change in Accured Expenses has ranged from -$105.35 million in fiscal Q3 2023 to $71.83 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in four of the last five quarters, with growth averaging 189.4%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 807.1% in fiscal Q1 2026, against a decline of 37.5% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $39.3 million (Q2 2026), $43.58 million (Q1 2026) and $71.83 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,114.26 Bn | 4,888.42 Bn | 72.14 Bn | 252.00 Mn |
| 2 | Taiwan Semiconductor Manufacturing | 2,138.81 Bn | 1,764.99 Bn | 27.22 Bn | 157.82 Mn |
| 3 | Broadcom | 1,543.15 Bn | 1,469.19 Bn | 20.46 Bn | 372.00 Mn |
| 4 | Micron Technology | 968.69 Bn | 874.33 Bn | 47.05 Bn | 5.38 Bn |
| 5 | Advanced Micro Devices | 828.94 Bn | 785.69 Bn | 6.20 Bn | -652.00 Mn |
| 6 | Asml Holding | 601.46 Bn | 557.15 Bn | 5.90 Bn | - |
| 7 | Intel | 431.13 Bn | 315.86 Bn | 6.51 Bn | 803.00 Mn |
| 8 | Applied Materials | 298.06 Bn | 263.50 Bn | 4.59 Bn | 633.00 Mn |
| 9 | Lam Research | 287.49 Bn | 263.54 Bn | 4.30 Bn | - |
| 10 | Dolby Laboratories | 5.96 Bn | 3.36 Bn | 264.68 Mn | -47.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2026 | -47.26 Mn |
| Mar 27, 2026 | 39.30 Mn |
| Dec 26, 2025 | 43.58 Mn |
| Sep 26, 2025 | 71.83 Mn |
| Jun 27, 2025 | -76.25 Mn |
| Mar 28, 2025 | 22.46 Mn |
| Dec 27, 2024 | 4.80 Mn |
| Sep 27, 2024 | 46.28 Mn |
| Jun 28, 2024 | -84.76 Mn |
| Mar 29, 2024 | 35.92 Mn |
| Dec 29, 2023 | -31.99 Mn |
| Sep 29, 2023 | 31.42 Mn |
| Jun 30, 2023 | -105.35 Mn |
| Mar 31, 2023 | 15.84 Mn |
| Dec 30, 2022 | 5.77 Mn |
| Sep 30, 2022 | -3.76 Mn |
| Jul 1, 2022 | 7.69 Mn |
| Apr 1, 2022 | -3.44 Mn |
| Dec 31, 2021 | -34.03 Mn |
| Sep 24, 2021 | 12.44 Mn |
API Access
Dolby Laboratories Change in Accured 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=change-in-accured-expenses&ticker=DLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=DLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();