Peraso (PRSO) Total Liabilities (2009 - 2026)
Peraso (PRSO) posted Total Liabilities of $1.57 million for Q3 2026, down 40.4% from $2.64 million a year earlier and down 15.5% from the prior quarter.
Peraso (PRSO) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Peraso's Total Liabilities came in at $1.44 million, down 61.4% from FY2024.
- Annual Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -36.4% (FY2020 to FY2025).
- In prior years, Peraso's Total Liabilities was $3.74 million in FY2024 (-43.6%), $6.63 million in FY2023 (-8.3%), $7.23 million in FY2022 (+22.9%) and $5.88 million in FY2021 (-57.7%).
- Quarterly Total Liabilities has run from a low of $1.44 million in Q4 2025 to a high of $7.23 million in Q4 2022 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last eight quarters, with an average decline of 44.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2022, with growth of 22.9%; the weakest was Q3 2022, with a decline of 86.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.86 million (Q2 2026), $1.79 million (Q1 2026) and $1.44 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 55.89 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 95.92 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 91.29 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 88.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 57.51 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 26.42 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 36.36 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 97.02 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 19.29 Bn |
| 10 | Peraso | 4.71 Mn | -4.80 Mn | 223,000.00 | 1.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.57 Mn |
| Jun 30, 2026 | 1.86 Mn |
| Mar 31, 2026 | 1.79 Mn |
| Dec 31, 2025 | 1.44 Mn |
| Sep 30, 2025 | 2.64 Mn |
| Jun 30, 2025 | 2.54 Mn |
| Mar 31, 2025 | 3.14 Mn |
| Dec 31, 2024 | 3.74 Mn |
| Sep 30, 2024 | 5.17 Mn |
| Jun 30, 2024 | 6.20 Mn |
| Mar 31, 2024 | 4.84 Mn |
| Dec 31, 2023 | 6.63 Mn |
| Sep 30, 2023 | 5.08 Mn |
| Jun 30, 2023 | 6.92 Mn |
| Mar 31, 2023 | 5.38 Mn |
| Dec 31, 2022 | 7.23 Mn |
| Sep 30, 2022 | 5.02 Mn |
| Jun 30, 2022 | 5.87 Mn |
| Mar 31, 2022 | 5.51 Mn |
| Dec 31, 2021 | 5.88 Mn |
Peraso 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=PRSO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PRSO", "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=PRSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();