Spar (SGRP) Return on Sales [ROS] (2010 - 2026)
Spar's Return on Sales [ROS] was 3.28% in Q2 2026, up 1.42 percentage points from 1.85% a year earlier and up 3.41 percentage points from the prior quarter.
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Analysis
Spar (SGRP) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Spar's Return on Sales [ROS] was -13.36% through Jun 30, 2026, down 9.69 percentage points year-over-year; for FY2025, it was -12.42%, down 12.85 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -16.64 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 0.43% in FY2024 (-2.54 pp), 2.97% in FY2023 (+0.91 pp), 2.06% in FY2022 (+0.43 pp) and 1.64% in FY2021 (-2.58 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q1 2024.
- Compared with a year earlier, Return on Sales [ROS] was higher in two of the last eight quarters, with an average year-over-year change of -11.06 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2024 (a gain of 12.66 percentage points); the worst was Q4 2025 (a drop of 41.21 percentage points).
- Per Business Quant data, SGRP's Return on Sales [ROS] in the three quarters before Q2 2026 was -0.14% (Q1 2026), -57.84% (Q4 2025) and -14.29% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn | 15.33% |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn | 23.62% |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn | 20.63% |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn | 20.45% |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn | 7.91% |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn | 19.68% |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn | 4.26% |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn | 18.68% |
| 9 | Rentokil Initial | 12.05 Bn | 5.56 Bn | - | - |
| 10 | Spar | 17.04 Mn | -1.69 Mn | 8.41 Mn | 3.28% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.28% |
| Mar 31, 2026 | -0.14% |
| Dec 31, 2025 | -57.84% |
| Sep 30, 2025 | -14.29% |
| Jun 30, 2025 | 1.85% |
| Mar 31, 2025 | 3.04% |
| Dec 31, 2024 | -16.63% |
| Sep 30, 2024 | -4.05% |
| Jun 30, 2024 | -2.23% |
| Mar 31, 2024 | 17.55% |
| Dec 31, 2023 | 2.54% |
| Sep 30, 2023 | 1.64% |
| Jun 30, 2023 | 2.09% |
| Mar 31, 2023 | 4.89% |
| Dec 31, 2022 | -1.17% |
| Sep 30, 2022 | 2.46% |
| Jun 30, 2022 | 3.48% |
| Mar 31, 2022 | 3.50% |
| Dec 31, 2021 | -5.16% |
| Sep 30, 2021 | 3.97% |
API Access
Spar 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=SGRP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SGRP", "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=SGRP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();