Soundhound Ai (SOUN) Total Liabilities (2021 - 2026)
Soundhound Ai (SOUN) reported Total Liabilities of $177.46 million for Q2 2026, down 19.2% from $219.74 million a year earlier and down 3.7% from the prior quarter.
Soundhound Ai (SOUN) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Soundhound Ai posted Total Liabilities of $224.39 million, down 39.6% from FY2024.
- Total Liabilities has a four-year compound annual growth rate of -13.0% (FY2021 to FY2025).
- By year, Total Liabilities came in at $371.3 million in FY2024 (+202.0%), $122.95 million in FY2023 (+64.9%), $74.55 million in FY2022 (-81.0%) and $392.44 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Total Liabilities since Q2 2024.
- Year over year, Total Liabilities has now declined in each of the last three quarters, with growth averaging 90.0% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2025 (growth of 414.2%); the low point was Q3 2022 (a decline of 82.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $184.29 million (Q1 2026), $224.39 million (Q4 2025) and $302.98 million (Q3 2025).
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 | Soundhound Ai | 2.35 Bn | 1.42 Bn | 27.93 Mn | 177.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 177.46 Mn |
| Mar 31, 2026 | 184.29 Mn |
| Dec 31, 2025 | 224.39 Mn |
| Sep 30, 2025 | 302.98 Mn |
| Jun 30, 2025 | 219.74 Mn |
| Mar 31, 2025 | 190.54 Mn |
| Dec 31, 2024 | 371.30 Mn |
| Sep 30, 2024 | 203.67 Mn |
| Jun 30, 2024 | 42.73 Mn |
| Mar 31, 2024 | 131.95 Mn |
| Dec 31, 2023 | 122.95 Mn |
| Sep 30, 2023 | 118.08 Mn |
| Jun 30, 2023 | 118.97 Mn |
| Mar 31, 2023 | 70.42 Mn |
| Dec 31, 2022 | 74.55 Mn |
| Sep 30, 2022 | 79.29 Mn |
| Jun 30, 2022 | 85.15 Mn |
| Mar 31, 2022 | 217.02 Mn |
| Dec 31, 2021 | 392.44 Mn |
| Sep 30, 2021 | 458.02 Mn |
Soundhound Ai 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=SOUN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SOUN", "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=SOUN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();