Soundthinking (SSTI) Amortizatization of Intangibles (2019 - 2026)
Soundthinking (SSTI) recorded Amortizatization of Intangibles of $900,000 in Q2 2026, unchanged from $900,000 a year earlier and down 10.0% from the prior quarter.
Soundthinking (SSTI) Amortizatization of Intangibles (2019 - 2026) Analysis & Trends
On a TTM basis, Soundthinking's Amortizatization of Intangibles came in at $3.9 million as of Jun 30, 2026, unchanged year-over-year; for FY2025, it was $3.9 million, unchanged from FY2024.
- Annual Amortizatization of Intangibles has a five-year compound annual growth rate of 81.1% (FY2020 to FY2025).
- Across earlier years, Amortizatization of Intangibles came in at $3.9 million in FY2024 (-0.5%), $3.92 million in FY2023 (+40.0%), $2.8 million in FY2022 (+171.3%) and $1.03 million in FY2021 (+416.0%).
- Quarterly Amortizatization of Intangibles has ranged from $232,000 in Q4 2021 to $1.5 million in Q2 2023 over the past five years.
- On a year-over-year basis, Amortizatization of Intangibles rose in two of the last eight quarters, with growth averaging 3.0%.
- Peak year-over-year performance for Amortizatization of Intangibles in the last five years was growth of 201.7% in Q4 2022, against a decline of 33.3% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1 million (Q1 2026), $1 million (Q4 2025) and $1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 13.30 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | - |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | - |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | - |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | - |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | - |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | - |
| 10 | Soundthinking | 109.65 Mn | 61.37 Mn | 11.54 Mn | 900,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 900,000.00 |
| Mar 31, 2026 | 1.00 Mn |
| Dec 31, 2025 | 1.00 Mn |
| Sep 30, 2025 | 1.00 Mn |
| Jun 30, 2025 | 900,000.00 |
| Mar 31, 2025 | 1.00 Mn |
| Dec 31, 2024 | 1.00 Mn |
| Sep 30, 2024 | 1.00 Mn |
| Jun 30, 2024 | 1.00 Mn |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 920,000.00 |
| Sep 30, 2023 | 800,000.00 |
| Jun 30, 2023 | 1.50 Mn |
| Mar 31, 2023 | 700,000.00 |
| Dec 31, 2022 | 700,000.00 |
| Sep 30, 2022 | 700,000.00 |
| Jun 30, 2022 | 700,000.00 |
| Mar 31, 2022 | 700,000.00 |
| Dec 31, 2021 | 232,000.00 |
| Sep 30, 2021 | 300,000.00 |
Soundthinking Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=SSTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=SSTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();