Soundthinking (SSTI) Return on Capital Employed [ROCE] (2017 - 2026)
Soundthinking (SSTI) recorded Return on Capital Employed [ROCE] of -21.65% in Q2 2026, down 10.75 percentage points from -10.90% a year earlier and down 3.25 percentage points from the prior quarter.
Soundthinking (SSTI) Return on Capital Employed [ROCE] (2017 - 2026) Analysis & Trends
For FY2025, Soundthinking reported Return on Capital Employed [ROCE] of -11.07%, down 1.46 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has declined for three straight years, with a five-year change of -15.05 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -9.62% in FY2024 (-7.87 pp), -1.75% in FY2023 (-19.35 pp), 17.60% in FY2022 (+29.29 pp) and -11.69% in FY2021 (-15.67 pp).
- The Q2 2026 figure is the lowest quarterly Return on Capital Employed [ROCE] since Q3 2018.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined for seven consecutive quarters, with an average year-over-year change of -6.38 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 23.99 percentage points in Q4 2022, against a drop of 16.15 percentage points in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at -18.40% (Q1 2026), -11.24% (Q4 2025) and -12.42% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.30% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 3.21% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 0.40% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | -0.47% |
| 10 | Soundthinking | 109.65 Mn | 61.37 Mn | 11.54 Mn | -21.65% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -21.65% |
| Mar 31, 2026 | -18.40% |
| Dec 31, 2025 | -11.24% |
| Sep 30, 2025 | -12.42% |
| Jun 30, 2025 | -10.90% |
| Mar 31, 2025 | -7.45% |
| Dec 31, 2024 | -9.02% |
| Sep 30, 2024 | 0.83% |
| Jun 30, 2024 | 0.31% |
| Mar 31, 2024 | -2.54% |
| Dec 31, 2023 | -1.63% |
| Sep 30, 2023 | -8.78% |
| Jun 30, 2023 | -0.07% |
| Mar 31, 2023 | 7.53% |
| Dec 31, 2022 | 12.06% |
| Sep 30, 2022 | 6.78% |
| Jun 30, 2022 | -0.66% |
| Mar 31, 2022 | -9.07% |
| Dec 31, 2021 | -11.93% |
| Sep 30, 2021 | -3.29% |
Soundthinking Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=SSTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=SSTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();