Kelly Services (KELYA) Return on Sales [ROS] (2009 - 2026)
Kelly Services (KELYA) recorded Return on Sales [ROS] of 1.55% in Q2 2026, down 0.46 percentage points from 2.01% a year earlier but up 2.04 percentage points from the prior quarter.
Kelly Services (KELYA) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Kelly Services' Return on Sales [ROS] came in at -2.26% as of Jun 28, 2026, down 1.79 percentage points year-over-year; for FY2025, it was -1.64%, down 1.29 percentage points from FY2024.
- Annual Return on Sales [ROS] has a four-year change of +0.43 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -0.35% in FY2024 (-0.85 pp), 0.50% in FY2023 (+0.20 pp), 0.30% in FY2022 and -2.07% in FY2021.
- Quarterly Return on Sales [ROS] has ranged from -10.92% in Q3 2025 to 2.56% in Q1 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of -1.78 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 4.69 percentage points in Q4 2025, against a drop of 11.17 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -0.49% (Q1 2026), -0.07% (Q4 2025) and -10.92% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 15.33% |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 23.62% |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 20.63% |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 20.45% |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 7.91% |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 19.68% |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 4.26% |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 18.68% |
| 10 | Kelly Services | 487.19 Mn | 382.19 Mn | 194.40 Mn | 0.06% |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 0.06% |
| Jun 28, 2026 | 1.55% |
| Mar 29, 2026 | -0.49% |
| Sep 28, 2025 | -10.92% |
| Jun 29, 2025 | 2.01% |
| Mar 30, 2025 | 0.93% |
| Dec 29, 2024 | -4.76% |
| Sep 29, 2024 | 0.25% |
| Jun 30, 2024 | 1.15% |
| Mar 31, 2024 | 2.56% |
| Oct 1, 2023 | 0.01% |
| Jul 2, 2023 | 0.51% |
| Apr 2, 2023 | 0.84% |
| Dec 31, 2022 | 0.30% |
| Oct 2, 2022 | -1.83% |
| Jul 3, 2022 | 0.65% |
| Apr 3, 2022 | 1.80% |
| Dec 31, 2021 | 3.89% |
| Oct 3, 2021 | 0.75% |
| Jul 4, 2021 | 1.09% |
Kelly Services 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=KELYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "KELYA", "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=KELYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();