Soundthinking (SSTI) Enterprise Value (2017 - 2026)
Soundthinking's Enterprise Value came in at $112.72 million for Q2 2026, down 28.7% from $158.07 million a year earlier but up 57.6% from the prior quarter.
Soundthinking (SSTI) Enterprise Value (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Soundthinking reported Enterprise Value of $70.85 million, down 39.9% year-over-year; for FY2025, it was $87.2 million, down 42.6% from FY2024.
- Enterprise Value has declined in each of the last three years, with a five-year compound annual growth rate of -26.9% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $151.82 million in FY2024 (-52.6%), $320.22 million in FY2023 (-20.7%), $403.73 million in FY2022 (+22.4%) and $329.85 million in FY2021 (-21.3%).
- The five-year range for quarterly Enterprise Value is $71.51 million (Q1 2026) to $476.35 million (Q1 2023).
- Year-over-year, Enterprise Value has declined for three consecutive quarters, with an average decline of 26.1% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q1 2023 (growth of 45.4%), and the weakest in Q1 2026 (a decline of 64.8%).
- Business Quant data shows SSTI's Enterprise Value at $71.51 million (Q1 2026), $87.2 million (Q4 2025) and $141.31 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn |
| 10 | Soundthinking | 108.86 Mn | 59.63 Mn | 11.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.65 Mn |
| Mar 31, 2026 | 71.40 Mn |
| Dec 31, 2025 | 86.86 Mn |
| Sep 30, 2025 | 140.88 Mn |
| Jun 30, 2025 | 157.69 Mn |
| Mar 31, 2025 | 202.85 Mn |
| Dec 31, 2024 | 151.24 Mn |
| Sep 30, 2024 | 130.06 Mn |
| Jun 30, 2024 | 145.54 Mn |
| Mar 31, 2024 | 194.16 Mn |
| Dec 31, 2023 | 319.82 Mn |
| Sep 30, 2023 | 221.90 Mn |
| Jun 30, 2023 | 263.41 Mn |
| Mar 31, 2023 | 476.35 Mn |
| Dec 31, 2022 | 403.73 Mn |
| Sep 30, 2022 | 341.03 Mn |
| Jun 30, 2022 | 323.66 Mn |
| Mar 31, 2022 | 327.71 Mn |
| Dec 31, 2021 | 329.85 Mn |
| Sep 30, 2021 | 411.54 Mn |
Soundthinking Enterprise Value 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=enterprise-value&ticker=SSTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=SSTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();