Soundthinking (SSTI) Research & Development (2016 - 2026)
Soundthinking (SSTI) reported Research & Development of $3.99 million for Q2 2026, up 6.5% from $3.75 million a year earlier but down 9.4% from the prior quarter.
Soundthinking (SSTI) Research & Development (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Soundthinking's Research & Development came in at $16.45 million, up 11.9% year-over-year; for FY2025, it came in at $15.87 million, up 13.9% from FY2024.
- Research & Development has increased for ten consecutive years, with a five-year compound annual growth rate of 23.1% (FY2020 to FY2025).
- By year, Research & Development came in at $13.93 million in FY2024 (+14.7%), $12.14 million in FY2023 (+21.1%), $10.03 million in FY2022 (+42.5%) and $7.04 million in FY2021 (+25.3%).
- Five-year quarterly Research & Development spans a low of $1.7 million in Q3 2021 and a high of $4.41 million in Q1 2026.
- Year over year, Research & Development has now increased in each of the last 36 quarters, with growth averaging 10.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Research & Development ran from 1.0% in Q1 2023 to 53.4% in Q1 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.41 million (Q1 2026), $3.96 million (Q4 2025) and $4.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 679.00 Mn |
| 10 | Soundthinking | 72.01 Mn | 23.72 Mn | 11.54 Mn | 3.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.99 Mn |
| Mar 31, 2026 | 4.41 Mn |
| Dec 31, 2025 | 3.96 Mn |
| Sep 30, 2025 | 4.10 Mn |
| Jun 30, 2025 | 3.75 Mn |
| Mar 31, 2025 | 4.07 Mn |
| Dec 31, 2024 | 3.48 Mn |
| Sep 30, 2024 | 3.41 Mn |
| Jun 30, 2024 | 3.47 Mn |
| Mar 31, 2024 | 3.56 Mn |
| Dec 31, 2023 | 3.24 Mn |
| Sep 30, 2023 | 3.19 Mn |
| Jun 30, 2023 | 3.06 Mn |
| Mar 31, 2023 | 2.65 Mn |
| Dec 31, 2022 | 2.46 Mn |
| Sep 30, 2022 | 2.41 Mn |
| Jun 30, 2022 | 2.53 Mn |
| Mar 31, 2022 | 2.63 Mn |
| Dec 31, 2021 | 1.88 Mn |
| Sep 30, 2021 | 1.70 Mn |
Soundthinking Research & Development 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=research-and-development&ticker=SSTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=SSTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();