Soundhound Ai (SOUN) Total Current Liabilities (2021 - 2026)
Soundhound Ai (SOUN) posted Total Current Liabilities of $70.88 million for Q2 2026, up 21.6% from $58.29 million a year earlier but down 3.3% from the prior quarter.
Soundhound Ai (SOUN) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Soundhound Ai's Total Current Liabilities came in at $71.74 million, up 5.9% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 900.4% (FY2020 to FY2025).
- In prior years, Soundhound Ai's Total Current Liabilities was $67.74 million in FY2024 (+179.7%), $24.22 million in FY2023 (-37.2%), $38.57 million in FY2022 (-56.0%) and $87.74 million in FY2021.
- Quarterly Total Current Liabilities has run from a low of $126,019 in Q3 2021 to a high of $87.74 million in Q4 2021 over five years.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last three quarters, with growth averaging 88.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2022, with growth of 349.5%; the weakest was Q4 2022, with a decline of 56.0%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $73.29 million (Q1 2026), $71.74 million (Q4 2025) and $65.13 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 | Soundhound Ai | 2.35 Bn | 1.42 Bn | 27.93 Mn | 70.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.88 Mn |
| Mar 31, 2026 | 73.29 Mn |
| Dec 31, 2025 | 71.74 Mn |
| Sep 30, 2025 | 65.13 Mn |
| Jun 30, 2025 | 58.29 Mn |
| Mar 31, 2025 | 60.03 Mn |
| Dec 31, 2024 | 67.74 Mn |
| Sep 30, 2024 | 70.18 Mn |
| Jun 30, 2024 | 25.54 Mn |
| Mar 31, 2024 | 26.48 Mn |
| Dec 31, 2023 | 24.22 Mn |
| Sep 30, 2023 | 21.41 Mn |
| Jun 30, 2023 | 24.13 Mn |
| Mar 31, 2023 | 41.51 Mn |
| Dec 31, 2022 | 38.57 Mn |
| Sep 30, 2022 | 39.37 Mn |
| Jun 30, 2022 | 40.88 Mn |
| Mar 31, 2022 | 503,071.00 |
| Dec 31, 2021 | 87.74 Mn |
| Sep 30, 2021 | 126,019.00 |
Soundhound Ai 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=SOUN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=SOUN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();