Sps Commerce (SPSC) Return on Capital Employed [ROCE] (2011 - 2026)
Sps Commerce's Return on Capital Employed [ROCE] came in at 9.91% for Q2 2026, down 0.71 percentage points from 10.62% a year earlier and down 1.65 percentage points from the prior quarter.
Sps Commerce (SPSC) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Sps Commerce's Return on Capital Employed [ROCE] was 12.50%, up 1.12 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +0.17 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 11.38% in FY2024 (-1.12 pp), 12.51% in FY2023 (-0.83 pp), 13.34% in FY2022 (+1.57 pp) and 11.76% in FY2021 (-0.57 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Capital Employed [ROCE] since Q3 2019.
- Year-over-year, Return on Capital Employed [ROCE] increased in two of the last eight quarters, with an average year-over-year change of -0.15 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q4 2022 (a gain of 2.07 percentage points), and the weakest in Q4 2023 (a drop of 1.63 percentage points).
- Business Quant data shows SPSC's Return on Capital Employed [ROCE] at 11.57% (Q1 2026), 11.71% (Q4 2025) and 11.06% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn | 21.53% |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn | 10.56% |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn | 8.74% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn | 0.82% |
| 10 | Sps Commerce | 3.05 Bn | 2.44 Bn | 138.79 Mn | 9.91% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.91% |
| Mar 31, 2026 | 11.57% |
| Dec 31, 2025 | 11.71% |
| Sep 30, 2025 | 11.06% |
| Jun 30, 2025 | 10.62% |
| Mar 31, 2025 | 10.85% |
| Dec 31, 2024 | 10.21% |
| Sep 30, 2024 | 11.12% |
| Jun 30, 2024 | 11.42% |
| Mar 31, 2024 | 10.88% |
| Dec 31, 2023 | 11.44% |
| Sep 30, 2023 | 11.67% |
| Jun 30, 2023 | 11.99% |
| Mar 31, 2023 | 12.35% |
| Dec 31, 2022 | 13.08% |
| Sep 30, 2022 | 12.88% |
| Jun 30, 2022 | 11.88% |
| Mar 31, 2022 | 11.33% |
| Dec 31, 2021 | 11.00% |
| Sep 30, 2021 | 10.94% |
Sps Commerce 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=SPSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "SPSC", "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=SPSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();