Soundthinking (SSTI) Total Liabilities (2016 - 2026)
Soundthinking (SSTI) posted Total Liabilities of $52.61 million for Q2 2026, down 12.7% from $60.26 million a year earlier and down 9.5% from the prior quarter.
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Analysis
Soundthinking (SSTI) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Soundthinking's Total Liabilities came in at $63.58 million, down 1.3% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- In prior years, Soundthinking's Total Liabilities was $64.39 million in FY2024 (+0.7%), $63.95 million in FY2023 (+3.5%), $61.8 million in FY2022 (+60.6%) and $38.49 million in FY2021 (+20.2%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q4 2021.
- On a year-over-year basis, Total Liabilities has declined in each of the last six quarters, with an average decline of 6.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2022, with growth of 126.8%; the weakest was Q2 2025, with a decline of 14.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $58.12 million (Q1 2026), $63.58 million (Q4 2025) and $60.89 million (Q3 2025).
Peer Set
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 | Soundthinking | 72.01 Mn | 23.72 Mn | 11.54 Mn | 52.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.61 Mn |
| Mar 31, 2026 | 58.12 Mn |
| Dec 31, 2025 | 63.58 Mn |
| Sep 30, 2025 | 60.89 Mn |
| Jun 30, 2025 | 60.26 Mn |
| Mar 31, 2025 | 62.47 Mn |
| Dec 31, 2024 | 64.39 Mn |
| Sep 30, 2024 | 68.41 Mn |
| Jun 30, 2024 | 70.27 Mn |
| Mar 31, 2024 | 70.21 Mn |
| Dec 31, 2023 | 63.95 Mn |
| Sep 30, 2023 | 64.85 Mn |
| Jun 30, 2023 | 52.62 Mn |
| Mar 31, 2023 | 52.86 Mn |
| Dec 31, 2022 | 61.80 Mn |
| Sep 30, 2022 | 53.54 Mn |
| Jun 30, 2022 | 59.10 Mn |
| Mar 31, 2022 | 61.43 Mn |
| Dec 31, 2021 | 38.49 Mn |
| Sep 30, 2021 | 29.62 Mn |
API Access
Soundthinking 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=SSTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SSTI", "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=SSTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();