Xperi (XPER) Total Liabilities (2021 - 2026)
Xperi (XPER) recorded Total Liabilities of $200.86 million in Q2 2026, down 4.1% from $209.39 million a year earlier but up 1.0% from the prior quarter.
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Analysis
Xperi (XPER) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Xperi reported Total Liabilities of $201.75 million, down 15.5% from FY2024.
- Annual Total Liabilities has declined for three straight years, with a four-year compound annual growth rate of -1.3% (FY2021 to FY2025).
- Across earlier years, Total Liabilities came in at $238.68 million in FY2024 (-16.7%), $286.5 million in FY2023 (-0.5%), $287.93 million in FY2022 (+35.3%) and $212.76 million in FY2021.
- Quarterly Total Liabilities has ranged from $198.94 million in Q1 2026 to $287.93 million in Q4 2022 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for 12 consecutive quarters, with an average decline of 12.5% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 35.3% in Q4 2022, against a decline of 20.2% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $198.94 million (Q1 2026), $201.75 million (Q4 2025) and $207.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Xperi | 267.61 Mn | -87.01 Mn | 78.42 Mn | 200.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 200.86 Mn |
| Mar 31, 2026 | 198.94 Mn |
| Dec 31, 2025 | 201.75 Mn |
| Sep 30, 2025 | 207.78 Mn |
| Jun 30, 2025 | 209.39 Mn |
| Mar 31, 2025 | 214.57 Mn |
| Dec 31, 2024 | 238.68 Mn |
| Sep 30, 2024 | 260.35 Mn |
| Jun 30, 2024 | 249.17 Mn |
| Mar 31, 2024 | 248.63 Mn |
| Dec 31, 2023 | 286.50 Mn |
| Sep 30, 2023 | 277.78 Mn |
| Jun 30, 2023 | 256.72 Mn |
| Mar 31, 2023 | 256.64 Mn |
| Dec 31, 2022 | 287.93 Mn |
| Sep 30, 2022 | 279.73 Mn |
| Dec 31, 2021 | 212.76 Mn |
API Access
Xperi 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=XPER&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=XPER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();