Soundthinking (SSTI) Total Debt (2016 - 2026)
Soundthinking's Total Debt came in at $4 million for Q2 2026, unchanged from $4 million a year earlier and unchanged from the prior quarter.
Analysis
Soundthinking (SSTI) Total Debt (2016 - 2026) Analysis & Trends
Going back to Q4 2016, Soundthinking's Total Debt data covers 14 quarters.
- Going back by year, Total Debt was $4 million in FY2024 (-42.9%) and $7 million in FY2023.
- The five-year range for quarterly Total Debt is $4 million (Q3 2024) to $7 million (Q2 2024).
- The year-over-year decline in Total Debt has ranged between 0.0% (Q2 2026) and 42.9% (Q3 2024) over the last five years.
- Business Quant data shows SSTI's Total Debt at $4 million (Q1 2026), $4 million (Q4 2025) and $4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 746.22 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 496.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | - |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | - |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.73 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | - |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 10.12 Bn |
| 10 | Soundthinking | 72.01 Mn | 23.72 Mn | 11.54 Mn | 4.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.00 Mn |
| Mar 31, 2026 | 4.00 Mn |
| Dec 31, 2025 | 4.00 Mn |
| Sep 30, 2025 | 4.00 Mn |
| Jun 30, 2025 | 4.00 Mn |
| Mar 31, 2025 | 4.00 Mn |
| Dec 31, 2024 | 4.00 Mn |
| Sep 30, 2024 | 4.00 Mn |
| Jun 30, 2024 | 7.00 Mn |
| Mar 31, 2024 | 7.00 Mn |
| Dec 31, 2023 | 7.00 Mn |
| Sep 30, 2023 | 7.00 Mn |
| Jun 30, 2017 | 13.12 Mn |
| Dec 31, 2016 | 11.68 Mn |
API Access
Soundthinking Total Debt 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=total-debt&ticker=SSTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=SSTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();