Soundthinking (SSTI) Total Non-Current Liabilities (2016 - 2024)
Soundthinking (SSTI) reported Total Non-Current Liabilities of $63.25 million for Q4 2024, up 2.3% from $61.86 million a year earlier but down 5.6% from the prior quarter.
Soundthinking (SSTI) Total Non-Current Liabilities (2016 - 2024) Analysis & Trends
Dating back to Q4 2016, Soundthinking's Total Non-Current Liabilities record includes 31 quarters.
- Total Non-Current Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 13.9% (FY2019 to FY2024).
- By year, Total Non-Current Liabilities came in at $61.86 million in FY2023 (+10.4%), $56 million in FY2022 (+60.1%), $34.98 million in FY2021 (+11.4%) and $31.38 million in FY2020 (-5.0%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $25.54 million in Q2 2021 and a high of $68.65 million in Q2 2024.
- Year over year, Total Non-Current Liabilities has now increased in each of the last seven quarters, with growth averaging 16.1% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2022 (growth of 89.7%); the low point was Q1 2023 (a decline of 7.1%).
- Per Business Quant data, the three quarters before Q4 2024 came in at $67.03 million (Q3 2024), $68.65 million (Q2 2024) and $68.38 million (Q1 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 3.68 Bn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Soundthinking | 109.39 Mn | 61.11 Mn | 11.54 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 63.25 Mn |
| Sep 30, 2024 | 67.03 Mn |
| Jun 30, 2024 | 68.65 Mn |
| Mar 31, 2024 | 68.38 Mn |
| Dec 31, 2023 | 61.86 Mn |
| Sep 30, 2023 | 60.05 Mn |
| Jun 30, 2023 | 50.56 Mn |
| Mar 31, 2023 | 47.31 Mn |
| Dec 31, 2022 | 56.00 Mn |
| Sep 30, 2022 | 47.19 Mn |
| Jun 30, 2022 | 48.45 Mn |
| Mar 31, 2022 | 50.91 Mn |
| Dec 31, 2021 | 34.98 Mn |
| Sep 30, 2021 | 29.14 Mn |
| Jun 30, 2021 | 25.54 Mn |
| Mar 31, 2021 | 30.10 Mn |
| Dec 31, 2020 | 31.38 Mn |
| Sep 30, 2020 | 25.70 Mn |
| Mar 31, 2020 | 29.62 Mn |
| Dec 31, 2019 | 33.02 Mn |
Soundthinking Total Non-Current Liabilities 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-non-current-liabilities&ticker=SSTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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-non-current-liabilities&ticker=SSTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();