Xperi (XPER) Total Current Liabilities (2021 - 2026)
Xperi (XPER) recorded Total Current Liabilities of $114.18 million in Q2 2026, up 0.7% from $113.43 million a year earlier and up 3.5% from the prior quarter.
Xperi (XPER) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Xperi reported Total Current Liabilities of $110.65 million, down 40.3% from FY2024.
- Annual Total Current Liabilities has a four-year compound annual growth rate of -2.0% (FY2021 to FY2025).
- Across earlier years, Total Current Liabilities came in at $185.35 million in FY2024 (+12.3%), $165.11 million in FY2023 (+9.9%), $150.24 million in FY2022 (+25.2%) and $119.98 million in FY2021.
- The Q2 2026 figure is the highest quarterly Total Current Liabilities since Q1 2025.
- On a year-over-year basis, Total Current Liabilities rose in three of the last eight quarters, with an average decline of 8.5%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 32.9% in Q3 2024, against a decline of 43.8% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $110.36 million (Q1 2026), $110.65 million (Q4 2025) and $113.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.40 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 13.13 Bn |
| 10 | Xperi | 267.61 Mn | -87.01 Mn | 78.42 Mn | 114.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.18 Mn |
| Mar 31, 2026 | 110.36 Mn |
| Dec 31, 2025 | 110.65 Mn |
| Sep 30, 2025 | 113.05 Mn |
| Jun 30, 2025 | 113.43 Mn |
| Mar 31, 2025 | 117.74 Mn |
| Dec 31, 2024 | 185.35 Mn |
| Sep 30, 2024 | 201.31 Mn |
| Jun 30, 2024 | 132.51 Mn |
| Mar 31, 2024 | 129.54 Mn |
| Dec 31, 2023 | 165.11 Mn |
| Sep 30, 2023 | 151.48 Mn |
| Jun 30, 2023 | 127.22 Mn |
| Mar 31, 2023 | 125.71 Mn |
| Dec 31, 2022 | 150.24 Mn |
| Sep 30, 2022 | 142.23 Mn |
| Dec 31, 2021 | 119.98 Mn |
Xperi Total Current 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-current-liabilities&ticker=XPER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "XPER", "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-current-liabilities&ticker=XPER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();