Arm Holdings (ARM) Change in Accured Expenses (2022 - 2026)
Arm Holdings' Change in Accured Expenses came in at $3 million for the quarter ended Jun 30, 2026, compared with -$4 million a year earlier and down 70.0% from the prior quarter.
Arm Holdings (ARM) Change in Accured Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Arm Holdings reported Change in Accured Expenses of $31 million, down 31.1% year-over-year; for the year ended Mar 31, 2026, it came in at $24 million.
- Change in Accured Expenses carries a four-year compound annual growth rate of -34.1% (years ended Mar 2022 to Mar 2026).
- Going back by year, Change in Accured Expenses was -$152 million in the year ended Mar 31, 2025, -$292 million in the year ended Mar 31, 2024, -$138 million in the year ended Mar 31, 2023 and $127 million in the year ended Mar 31, 2022.
- The five-year range for quarterly Change in Accured Expenses is -$447 million (the quarter ended Jun 30, 2023) to $203 million (the quarter ended Mar 31, 2023).
- Year-over-year, Change in Accured Expenses increased in two of the last five quarters, with growth averaging 12.6%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in the quarter ended Dec 31, 2025 (growth of 218.2%), and the weakest in the quarter ended Sep 30, 2023 (a decline of 84.4%).
- Business Quant data shows ARM's Change in Accured Expenses at $10 million (quarter ended Mar 31, 2026), $35 million (quarter ended Dec 31, 2025) and -$17 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 252.00 Mn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 372.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 2.40 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | -652.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 803.00 Mn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 633.00 Mn |
| 10 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn | 3.00 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 | 203.00 Mn |
| Dec 31, 2022 | 111.00 Mn |
| Sep 30, 2022 | 32.00 Mn |
Arm Holdings 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=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();