Arm Holdings (ARM) Non-Current Assets (2023 - 2026)
Arm Holdings (ARM) posted Non-Current Assets of $4.86 billion for the quarter ended Jun 30, 2026, up 15.0% from $4.22 billion a year earlier and up 8.7% from the prior quarter.
Arm Holdings (ARM) Non-Current Assets (2023 - 2026) Analysis & Trends
As of Mar 31, 2026, Arm Holdings' Non-Current Assets came in at $4.47 billion, up 8.9% from the prior year.
- Annual Non-Current Assets has increased for three consecutive years, with a three-year compound annual growth rate of 10.3% (years ended Mar 2023 to Mar 2026).
- In prior years, Arm Holdings' Non-Current Assets was $4.1 billion in the year ended Mar 31, 2025 (+10.0%), $3.73 billion in the year ended Mar 31, 2024 (+12.0%) and $3.33 billion in the year ended Mar 31, 2023.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Non-Current Assets in data going back to the quarter ended Mar 31, 2023.
- On a year-over-year basis, Non-Current Assets has increased in each of the last eight quarters, with growth averaging 11.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Non-Current Assets ran from 4.5% in the quarter ended Jun 30, 2025 to 19.4% in the quarter ended Sep 30, 2024.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $4.47 billion (quarter ended Mar 31, 2026), $4.44 billion (quarter ended Dec 31, 2025) and $4.34 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,252.35 Bn | 5,026.52 Bn | 72.14 Bn | 122.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,265.88 Bn | 1,892.06 Bn | 27.22 Bn | 150.94 Bn |
| 3 | Broadcom | 1,634.28 Bn | 1,560.33 Bn | 20.46 Bn | 135.98 Bn |
| 4 | Micron Technology | 1,050.43 Bn | 956.06 Bn | 47.05 Bn | 104.82 Bn |
| 5 | Advanced Micro Devices | 914.34 Bn | 871.09 Bn | 6.20 Bn | 52.94 Bn |
| 6 | Asml Holding | 630.38 Bn | 586.07 Bn | 5.90 Bn | 23.44 Bn |
| 7 | Intel | 472.73 Bn | 357.46 Bn | 6.51 Bn | 145.23 Bn |
| 8 | Applied Materials | 314.21 Bn | 279.65 Bn | 4.59 Bn | 18.43 Bn |
| 9 | Lam Research | 300.86 Bn | 276.91 Bn | 4.30 Bn | 8.23 Bn |
| 10 | Arm Holdings | 240.42 Bn | 226.13 Bn | 1.25 Bn | 4.86 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.86 Bn |
| Mar 31, 2026 | 4.47 Bn |
| Dec 31, 2025 | 4.44 Bn |
| Sep 30, 2025 | 4.34 Bn |
| Jun 30, 2025 | 4.22 Bn |
| Mar 31, 2025 | 4.10 Bn |
| Dec 31, 2024 | 4.16 Bn |
| Sep 30, 2024 | 4.02 Bn |
| Jun 30, 2024 | 4.04 Bn |
| Mar 31, 2024 | 3.73 Bn |
| Dec 31, 2023 | 3.49 Bn |
| Sep 30, 2023 | 3.37 Bn |
| Mar 31, 2023 | 3.33 Bn |
Arm Holdings Non-Current Assets 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=non-current-assets&ticker=ARM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ARM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();