Soundthinking (SSTI) Debt Ratio (2016 - 2026)
Soundthinking's (SSTI) Debt Ratio was 0.03 for Q2 2026, up 14.1% from 0.03 a year earlier and up 6.4% from the prior quarter.
Analysis
Soundthinking (SSTI) Debt Ratio (2016 - 2026) Analysis & Trends
Dating back to Q4 2016, Soundthinking's Debt Ratio record includes 14 quarters.
- By year, Debt Ratio came in at 0.03 in FY2024 (-42.1%) and 0.05 in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Debt Ratio since Q2 2024.
- Year over year, Debt Ratio has now increased in each of the last four quarters, with an average decline of 17.1% over the last eight quarters.
- The high point for year-over-year Debt Ratio in five years was Q2 2026 (growth of 14.1%); the low point was Q3 2024 (a decline of 46.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 0.03 (Q1 2026), 0.03 (Q4 2025) and 0.03 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 261.96 Bn | 247.03 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 241.31 Bn | 221.72 Bn | 1.10 Bn | 0.06 |
| 3 | Fortinet | 126.60 Bn | 112.52 Bn | 1.64 Bn | 0.05 |
| 4 | Snowflake | 112.82 Bn | 100.14 Bn | 1.04 Bn | - |
| 5 | Datadog | 97.75 Bn | 79.39 Bn | 881.34 Mn | - |
| 6 | Zscaler | 36.46 Bn | 22.58 Bn | - | - |
| 7 | Okta | 35.58 Bn | 25.67 Bn | 641.00 Mn | - |
| 8 | Axon Enterprise | 31.67 Bn | 26.20 Bn | 546.45 Mn | 0.23 |
| 9 | MongoDB | 30.32 Bn | 20.79 Bn | 569.77 Mn | - |
| 10 | Soundthinking | 110.29 Mn | 62.01 Mn | 11.54 Mn | 0.03 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.03 |
| Mar 31, 2026 | 0.03 |
| Dec 31, 2025 | 0.03 |
| Sep 30, 2025 | 0.03 |
| Jun 30, 2025 | 0.03 |
| Mar 31, 2025 | 0.03 |
| Dec 31, 2024 | 0.03 |
| Sep 30, 2024 | 0.03 |
| Jun 30, 2024 | 0.05 |
| Mar 31, 2024 | 0.05 |
| Dec 31, 2023 | 0.05 |
| Sep 30, 2023 | 0.05 |
| Jun 30, 2017 | 0.26 |
| Dec 31, 2016 | 0.72 |
API Access
Soundthinking Debt Ratio 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=debt-ratio&ticker=SSTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=SSTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();