Soundthinking (SSTI) Capital Expenditures (2016 - 2026)
Soundthinking (SSTI) recorded Capital Expenditures of $647,000 in Q2 2026, down 52.9% from $1.38 million a year earlier and down 62.5% from the prior quarter.
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Analysis
Soundthinking (SSTI) Capital Expenditures (2016 - 2026) Analysis & Trends
On a TTM basis, Soundthinking's Capital Expenditures came in at $4.54 million as of Jun 30, 2026, down 7.1% year-over-year; for FY2025, it came in at $4.45 million, down 29.7% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $6.33 million in FY2024 (+25.2%), $5.05 million in FY2023 (-53.7%), $10.92 million in FY2022 (+39.2%) and $7.84 million in FY2021 (+93.2%).
- The Q2 2026 figure is the lowest quarterly Capital Expenditures in data going back to Q3 2016.
- On a year-over-year basis, Capital Expenditures rose in four of the last eight quarters, with growth averaging 5.0%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 147.5% in Q3 2021, against a decline of 73.5% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.72 million (Q1 2026), $801,000 (Q4 2025) and $1.37 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 1.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 21.05 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -1.68 Bn |
| 10 | Soundthinking | 109.39 Mn | 61.11 Mn | 11.54 Mn | 647,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 647,000.00 |
| Mar 31, 2026 | 1.72 Mn |
| Dec 31, 2025 | 801,000.00 |
| Sep 30, 2025 | 1.37 Mn |
| Jun 30, 2025 | 1.38 Mn |
| Mar 31, 2025 | 902,000.00 |
| Dec 31, 2024 | 1.37 Mn |
| Sep 30, 2024 | 1.25 Mn |
| Jun 30, 2024 | 1.58 Mn |
| Mar 31, 2024 | 2.13 Mn |
| Dec 31, 2023 | 703,000.00 |
| Sep 30, 2023 | 1.13 Mn |
| Jun 30, 2023 | 1.68 Mn |
| Mar 31, 2023 | 1.54 Mn |
| Dec 31, 2022 | 1.89 Mn |
| Sep 30, 2022 | 4.27 Mn |
| Jun 30, 2022 | 2.85 Mn |
| Mar 31, 2022 | 1.90 Mn |
| Dec 31, 2021 | 2.21 Mn |
| Sep 30, 2021 | 2.06 Mn |
API Access
Soundthinking Capital Expenditures 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=capital-expenditures&ticker=SSTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SSTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();