Arm Holdings (ARM) Other Accumulated Expenses (2023 - 2026)
Arm Holdings (ARM) posted Other Accumulated Expenses of $156 million for the quarter ended Jun 30, 2026, up 13.9% from $137 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Arm Holdings (ARM) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
As of Mar 31, 2026, Arm Holdings' Other Accumulated Expenses came in at $154 million, up 10.0% from the prior year.
- Annual Other Accumulated Expenses shows a three-year compound annual growth rate of -19.3% (years ended Mar 2023 to Mar 2026).
- In prior years, Arm Holdings' Other Accumulated Expenses was $140 million in the year ended Mar 31, 2025 (-53.0%), $298 million in the year ended Mar 31, 2024 (+1.7%) and $293 million in the year ended Mar 31, 2023.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Other Accumulated Expenses since the quarter ended Mar 31, 2024.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last five quarters, with an average decline of 7.5% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was the quarter ended Jun 30, 2025, with growth of 41.2%; the weakest was the quarter ended Dec 31, 2024, with a decline of 59.1%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $154 million (quarter ended Mar 31, 2026), $147 million (quarter ended Dec 31, 2025) and $115 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 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 |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 156.00 Mn |
| Mar 31, 2026 | 154.00 Mn |
| Dec 31, 2025 | 147.00 Mn |
| Sep 30, 2025 | 115.00 Mn |
| Jun 30, 2025 | 137.00 Mn |
| Mar 31, 2025 | 140.00 Mn |
| Dec 31, 2024 | 114.00 Mn |
| Sep 30, 2024 | 104.00 Mn |
| Jun 30, 2024 | 97.00 Mn |
| Mar 31, 2024 | 298.00 Mn |
| Dec 31, 2023 | 279.00 Mn |
| Sep 30, 2023 | 217.00 Mn |
| Mar 31, 2023 | 293.00 Mn |
API Access
Arm Holdings Other 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=other-accumulated-expenses&ticker=ARM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=ARM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();