Soundhound Ai (SOUN) Total Non-Current Liabilities (2021 - 2026)
Soundhound Ai (SOUN) recorded Total Non-Current Liabilities of $93.82 million in Q2 2026, up 20.9% from $77.62 million a year earlier but down 3.2% from the prior quarter.
Soundhound Ai (SOUN) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Soundhound Ai reported Total Non-Current Liabilities of $95.16 million, up 12.7% from FY2024.
- Annual Total Non-Current Liabilities has a four-year compound annual growth rate of -29.8% (FY2021 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $84.4 million in FY2024 (-29.1%), $118.99 million in FY2023 (+69.7%), $70.13 million in FY2022 (-82.1%) and $391.1 million in FY2021.
- Quarterly Total Non-Current Liabilities has ranged from $38.16 million in Q2 2024 to $457.86 million in Q3 2021 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 9.8% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 103.4% in Q2 2025, against a decline of 83.1% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $96.95 million (Q1 2026), $95.16 million (Q4 2025) and $88.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.30 Bn | 245.37 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 244.24 Bn | 224.64 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 127.33 Bn | 113.26 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 112.88 Bn | 100.20 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 97.44 Bn | 79.08 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Zscaler | 36.86 Bn | 22.98 Bn | - | 5.20 Bn |
| 7 | Okta | 36.17 Bn | 26.26 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Axon Enterprise | 31.69 Bn | 26.22 Bn | 546.45 Mn | 3.62 Bn |
| 9 | MongoDB | 31.25 Bn | 21.72 Bn | 569.77 Mn | 770.18 Mn |
| 10 | Soundhound Ai | 1.97 Bn | 1.03 Bn | 27.93 Mn | 80.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.20 Mn |
| Mar 31, 2026 | 84.61 Mn |
| Dec 31, 2025 | 83.37 Mn |
| Sep 30, 2025 | 75.36 Mn |
| Jun 30, 2025 | 66.70 Mn |
| Mar 31, 2025 | 70.07 Mn |
| Dec 31, 2024 | 77.01 Mn |
| Sep 30, 2024 | 119.68 Mn |
| Jun 30, 2024 | 31.48 Mn |
| Mar 31, 2024 | 118.18 Mn |
| Dec 31, 2023 | 116.53 Mn |
| Sep 30, 2023 | 111.99 Mn |
| Jun 30, 2023 | 114.97 Mn |
| Mar 31, 2023 | 66.13 Mn |
| Dec 31, 2022 | 70.13 Mn |
| Sep 30, 2022 | 77.16 Mn |
| Jun 30, 2022 | 83.81 Mn |
| Mar 31, 2022 | 216.86 Mn |
| Dec 31, 2021 | 391.10 Mn |
| Sep 30, 2021 | 457.86 Mn |
Soundhound Ai Total Non-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-non-current-liabilities&ticker=SOUN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=SOUN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();