Arm Holdings (ARM) Change in Accrued Expenses (2022 - 2026)
Arm Holdings' Change in Accrued Expenses came in at -$15 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), compared with -$17 million a year earlier.
Arm Holdings (ARM) Change in Accrued Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Arm Holdings reported Change in Accrued Expenses of $33 million, up 65.0% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $24 million.
- Change in Accrued Expenses carries a four-year compound annual growth rate of -34.1% (FY2022 to FY2026).
- Going back by fiscal year, Change in Accrued Expenses was -$152 million in FY2025, -$292 million in FY2024, -$138 million in FY2023 and $127 million in FY2022.
- The five-year range for quarterly Change in Accrued Expenses is -$447 million (fiscal Q1 2024) to $260 million (fiscal Q4 2023).
- Year-over-year, Change in Accrued Expenses increased in 1 of the last four quarters, with growth averaging 0.8%.
- The fastest year-over-year change in Change in Accrued Expenses over five years came in fiscal Q3 2026 (growth of 218.2%), and the weakest in fiscal Q2 2024 (a decline of 84.4%).
- Business Quant data shows ARM's Change in Accrued Expenses at $3 million (Q1 2027), $10 million (Q4 2026) and $35 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 252.00 Mn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 157.82 Mn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 372.00 Mn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 5.38 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 323.00 Mn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 165.00 Mn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 633.00 Mn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 135.00 Mn |
| 10 | Arm Holdings | 184.92 Bn | 170.26 Bn | 1.40 Bn | -15.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -15.00 Mn |
| Jun 30, 2026 | 3.00 Mn |
| Mar 31, 2026 | 10.00 Mn |
| Dec 31, 2025 | 35.00 Mn |
| Sep 30, 2025 | -17.00 Mn |
| Jun 30, 2025 | -4.00 Mn |
| Mar 31, 2025 | 30.00 Mn |
| Dec 31, 2024 | 11.00 Mn |
| Sep 30, 2024 | 8.00 Mn |
| Jun 30, 2024 | -201.00 Mn |
| Mar 31, 2024 | 91.00 Mn |
| Dec 31, 2023 | 59.00 Mn |
| Sep 30, 2023 | 5.00 Mn |
| Jun 30, 2023 | -447.00 Mn |
| Mar 31, 2023 | 260.00 Mn |
| Dec 31, 2022 | 111.00 Mn |
| Sep 30, 2022 | 32.00 Mn |
Arm Holdings Change in Accrued 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=ARM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "ARM", "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=ARM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();