Soundthinking (SSTI) Accumulated Expenses (2016 - 2026)
Soundthinking (SSTI) posted Accumulated Expenses of $7.57 million for Q2 2026, up 5.8% from $7.15 million a year earlier but down 4.9% from the prior quarter.
Soundthinking (SSTI) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, Soundthinking's Accumulated Expenses came in at $9.58 million, down 6.2% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- In prior years, Soundthinking's Accumulated Expenses was $10.22 million in FY2024 (+19.9%), $8.52 million in FY2023 (-14.5%), $9.97 million in FY2022 (+49.2%) and $6.68 million in FY2021 (+19.0%).
- Quarterly Accumulated Expenses has run from a low of $5.87 million in Q3 2021 to a high of $12.95 million in Q1 2022 over five years.
- On a year-over-year basis, Accumulated Expenses increased in three of the last eight quarters, with an average decline of 1.2%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2022, with growth of 251.4%; the weakest was Q1 2023, with a decline of 48.7%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $7.95 million (Q1 2026), $9.58 million (Q4 2025) and $7.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn |
| 10 | Soundthinking | 111.10 Mn | 62.82 Mn | 11.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.57 Mn |
| Mar 31, 2026 | 7.95 Mn |
| Dec 31, 2025 | 9.58 Mn |
| Sep 30, 2025 | 7.89 Mn |
| Jun 30, 2025 | 7.15 Mn |
| Mar 31, 2025 | 7.03 Mn |
| Dec 31, 2024 | 10.22 Mn |
| Sep 30, 2024 | 9.46 Mn |
| Jun 30, 2024 | 8.43 Mn |
| Mar 31, 2024 | 7.10 Mn |
| Dec 31, 2023 | 8.52 Mn |
| Sep 30, 2023 | 10.48 Mn |
| Jun 30, 2023 | 9.39 Mn |
| Mar 31, 2023 | 6.65 Mn |
| Dec 31, 2022 | 9.97 Mn |
| Sep 30, 2022 | 9.01 Mn |
| Jun 30, 2022 | 10.04 Mn |
| Mar 31, 2022 | 12.95 Mn |
| Dec 31, 2021 | 6.68 Mn |
| Sep 30, 2021 | 5.87 Mn |
Soundthinking Accumulated Expenses 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=accumulated-expenses&ticker=SSTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SSTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();