Sps Commerce (SPSC) Return on Sales [ROS] (2010 - 2026)
Sps Commerce (SPSC) recorded Return on Sales [ROS] of 20.20% in Q3 2026, up 3.78 percentage points from 16.42% a year earlier and up 15.95 percentage points from the prior quarter.
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Analysis
Sps Commerce (SPSC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Sps Commerce's Return on Sales [ROS] came in at 13.79% as of Sep 30, 2026, down 1.06 percentage points year-over-year; for FY2025, it came in at 15.74%, up 1.81 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -0.30 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 13.94% in FY2024 (-0.45 pp), 14.39% in FY2023 (-1.40 pp), 15.79% in FY2022 (+1.49 pp) and 14.30% in FY2021 (-1.75 pp).
- The Q3 2026 figure is the highest quarterly Return on Sales [ROS] in data going back to Q2 2010.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of -0.19 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 4.00 percentage points in Q1 2025, against a drop of 9.87 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 4.25% (Q2 2026), 12.78% (Q1 2026) and 18.00% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 0.96% |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 27.75% |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 8.33% |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 26.45% |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 29.09% |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 14.69% |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 8.82% |
| 10 | Sps Commerce | 2.94 Bn | 2.28 Bn | 140.55 Mn | 20.20% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.20% |
| Jun 30, 2026 | 4.25% |
| Mar 31, 2026 | 12.78% |
| Dec 31, 2025 | 18.00% |
| Sep 30, 2025 | 16.42% |
| Jun 30, 2025 | 14.12% |
| Mar 31, 2025 | 14.30% |
| Dec 31, 2024 | 14.48% |
| Sep 30, 2024 | 15.62% |
| Jun 30, 2024 | 15.08% |
| Mar 31, 2024 | 10.30% |
| Dec 31, 2023 | 15.79% |
| Sep 30, 2023 | 15.18% |
| Jun 30, 2023 | 13.06% |
| Mar 31, 2023 | 13.29% |
| Dec 31, 2022 | 15.58% |
| Sep 30, 2022 | 17.20% |
| Jun 30, 2022 | 14.63% |
| Mar 31, 2022 | 15.69% |
| Dec 31, 2021 | 14.96% |
API Access
Sps Commerce Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=SPSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=SPSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();