Arm Holdings (ARM) Total Liabilities (2023 - 2026)
Arm Holdings' Total Liabilities came in at $2.57 billion for the quarter ended Jun 30, 2026, up 7.5% from $2.39 billion a year earlier and up 6.2% from the prior quarter.
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Analysis
Arm Holdings (ARM) Total Liabilities (2023 - 2026) Analysis & Trends
As of Mar 31, 2026, Arm Holdings' Total Liabilities was $2.42 billion, up 15.5% from the prior year.
- Total Liabilities carries a three-year compound annual growth rate of -5.0% (years ended Mar 2023 to Mar 2026).
- Going back by year, Total Liabilities was $2.09 billion in the year ended Mar 31, 2025 (-20.5%), $2.63 billion in the year ended Mar 31, 2024 (-6.5%) and $2.82 billion in the year ended Mar 31, 2023.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Total Liabilities since the quarter ended Mar 31, 2024.
- Year-over-year, Total Liabilities has increased for five consecutive quarters, with growth averaging 4.5% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in the quarter ended Mar 31, 2026 (growth of 15.5%), and the weakest in the quarter ended Mar 31, 2025 (a decline of 20.5%).
- Business Quant data shows ARM's Total Liabilities at $2.42 billion (quarter ended Mar 31, 2026), $2.38 billion (quarter ended Dec 31, 2025) and $2.3 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,276.08 Bn | 5,050.24 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,267.33 Bn | 1,892.19 Bn | 27.22 Bn | 92.36 Bn |
| 3 | Broadcom | 1,632.21 Bn | 1,558.26 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,047.49 Bn | 953.13 Bn | 47.05 Bn | 57.51 Bn |
| 5 | Advanced Micro Devices | 914.36 Bn | 871.11 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 635.50 Bn | 591.18 Bn | 5.90 Bn | 36.36 Bn |
| 7 | Intel | 478.83 Bn | 347.96 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Applied Materials | 314.54 Bn | 279.99 Bn | 4.59 Bn | 17.90 Bn |
| 9 | Lam Research | 301.55 Bn | 277.60 Bn | 4.30 Bn | 12.44 Bn |
| 10 | Arm Holdings | 240.51 Bn | 226.22 Bn | 1.25 Bn | 2.57 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.57 Bn |
| Mar 31, 2026 | 2.42 Bn |
| Dec 31, 2025 | 2.38 Bn |
| Sep 30, 2025 | 2.30 Bn |
| Jun 30, 2025 | 2.39 Bn |
| Mar 31, 2025 | 2.09 Bn |
| Dec 31, 2024 | 2.08 Bn |
| Sep 30, 2024 | 2.07 Bn |
| Jun 30, 2024 | 2.22 Bn |
| Mar 31, 2024 | 2.63 Bn |
| Dec 31, 2023 | 2.11 Bn |
| Sep 30, 2023 | 2.04 Bn |
| Mar 31, 2023 | 2.82 Bn |
API Access
Arm Holdings Total Liabilities 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=total-liabilities&ticker=ARM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ARM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();