Soundthinking (SSTI) Other Operating Expenses (2016 - 2026)
Soundthinking's Other Operating Expenses came in at $5.91 million for Q2 2026, down 9.5% from $6.53 million a year earlier and down 9.1% from the prior quarter.
Soundthinking (SSTI) Other Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Soundthinking reported Other Operating Expenses of $12.41 million, down 10.0% year-over-year; for FY2024, it came in at -$554,000.
- Going back by year, Other Operating Expenses was -$5.69 million in FY2023, -$9.15 million in FY2022, $1.33 million in FY2021 (-87.1%) and $10.33 million in FY2020 (+3.4%).
- The Q2 2026 figure represents the lowest quarterly Other Operating Expenses since Q2 2024.
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 | 5.91 Mn |
| Mar 31, 2026 | 6.50 Mn |
| Jun 30, 2025 | 6.53 Mn |
| Mar 31, 2025 | 7.26 Mn |
| Jun 30, 2024 | -554,000.00 |
| Dec 31, 2023 | -4.76 Mn |
| Sep 30, 2023 | 82,000.00 |
| Jun 30, 2023 | -999,000.00 |
| Mar 31, 2023 | -6,000.00 |
| Dec 31, 2022 | -312,000.00 |
| Sep 30, 2022 | -5.41 Mn |
| Jun 30, 2022 | -3.44 Mn |
| Mar 31, 2022 | 5.58 Mn |
| Dec 31, 2021 | 4.93 Mn |
| Sep 30, 2021 | 4.02 Mn |
| Jun 30, 2021 | 3.93 Mn |
| Mar 31, 2021 | 3.94 Mn |
| Dec 31, 2020 | 3.09 Mn |
| Sep 30, 2020 | 2.40 Mn |
| Jun 30, 2020 | 2.32 Mn |
Soundthinking Other Operating 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=other-operating-expenses&ticker=SSTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=SSTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();