Soundthinking (SSTI) Non-Current Assets (2016 - 2026)
Soundthinking's Non-Current Assets came in at $83.14 million for Q2 2026, down 7.9% from $90.27 million a year earlier and down 2.8% from the prior quarter.
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Analysis
Soundthinking (SSTI) Non-Current Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, Soundthinking's Non-Current Assets was $87.16 million, down 6.5% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $93.27 million in FY2024 (-5.2%), $98.4 million in FY2023 (+26.0%), $78.09 million in FY2022 (+105.3%) and $38.03 million in FY2021 (+8.1%).
- The Q2 2026 figure represents the lowest quarterly Non-Current Assets since Q2 2023.
- Year-over-year, Non-Current Assets has declined for eight consecutive quarters, with an average decline of 6.3% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q1 2022 (growth of 123.5%), and the weakest in Q2 2026 (a decline of 7.9%).
- Business Quant data shows SSTI's Non-Current Assets at $85.49 million (Q1 2026), $87.16 million (Q4 2025) and $88.33 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Soundthinking | 72.01 Mn | 23.72 Mn | 11.54 Mn | 83.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.14 Mn |
| Mar 31, 2026 | 85.49 Mn |
| Dec 31, 2025 | 87.16 Mn |
| Sep 30, 2025 | 88.33 Mn |
| Jun 30, 2025 | 90.27 Mn |
| Mar 31, 2025 | 91.39 Mn |
| Dec 31, 2024 | 93.27 Mn |
| Sep 30, 2024 | 95.36 Mn |
| Jun 30, 2024 | 96.85 Mn |
| Mar 31, 2024 | 97.74 Mn |
| Dec 31, 2023 | 98.40 Mn |
| Sep 30, 2023 | 98.68 Mn |
| Jun 30, 2023 | 75.63 Mn |
| Mar 31, 2023 | 77.82 Mn |
| Dec 31, 2022 | 78.09 Mn |
| Sep 30, 2022 | 78.95 Mn |
| Jun 30, 2022 | 78.38 Mn |
| Mar 31, 2022 | 77.64 Mn |
| Dec 31, 2021 | 38.03 Mn |
| Sep 30, 2021 | 35.53 Mn |
API Access
Soundthinking 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=SSTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SSTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();