Soundhound Ai (SOUN) Non-Current Assets (2021 - 2026)
Soundhound Ai (SOUN) posted Non-Current Assets of $390.84 million for Q2 2026, up 31.4% from $297.47 million a year earlier and up 9.7% from the prior quarter.
Soundhound Ai (SOUN) Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Soundhound Ai's Non-Current Assets came in at $359.04 million, up 20.3% from FY2024.
- Annual Non-Current Assets has increased for three consecutive years, with a four-year compound annual growth rate of 101.6% (FY2021 to FY2025).
- In prior years, Soundhound Ai's Non-Current Assets was $298.43 million in FY2024 (+694.1%), $37.58 million in FY2023 (+85.3%), $20.28 million in FY2022 (-6.7%) and $21.73 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Non-Current Assets in data going back to Q1 2021.
- On a year-over-year basis, Non-Current Assets has increased in each of the last 13 quarters, with growth averaging 331.0% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q3 2024, with growth of 819.4%; the weakest was Q2 2022, with a decline of 86.4%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $356.15 million (Q1 2026), $359.04 million (Q4 2025) and $366.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 39.82 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 5.07 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.65 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 5.20 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.54 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 4.48 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 6.05 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.84 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 38.70 Bn |
| 10 | Soundhound Ai | 2.35 Bn | 1.42 Bn | 27.93 Mn | 390.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 390.84 Mn |
| Mar 31, 2026 | 356.15 Mn |
| Dec 31, 2025 | 359.04 Mn |
| Sep 30, 2025 | 366.85 Mn |
| Jun 30, 2025 | 297.47 Mn |
| Mar 31, 2025 | 292.49 Mn |
| Dec 31, 2024 | 298.43 Mn |
| Sep 30, 2024 | 318.45 Mn |
| Jun 30, 2024 | 42.62 Mn |
| Mar 31, 2024 | 53.39 Mn |
| Dec 31, 2023 | 37.58 Mn |
| Sep 30, 2023 | 34.64 Mn |
| Jun 30, 2023 | 30.64 Mn |
| Mar 31, 2023 | 19.11 Mn |
| Dec 31, 2022 | 20.28 Mn |
| Sep 30, 2022 | 21.41 Mn |
| Jun 30, 2022 | 18.04 Mn |
| Mar 31, 2022 | 133.02 Mn |
| Dec 31, 2021 | 21.73 Mn |
| Sep 30, 2021 | 133.01 Mn |
Soundhound Ai Non-Current Assets 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=non-current-assets&ticker=SOUN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SOUN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();