Kelly Services (KELYA) Return on Sales [ROS] (2010 - 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] (2010 - 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 | 132.79 Bn | 93.20 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 7.76% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.26% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 18.67% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Kelly Services | 494.17 Mn | 381.27 Mn | 212.00 Mn | 1.55% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.55% |
| Mar 29, 2026 | -0.49% |
| Dec 28, 2025 | -0.07% |
| 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% |
| Dec 31, 2023 | 0.59% |
| Oct 1, 2023 | 0.01% |
| Jul 2, 2023 | 0.51% |
| Apr 2, 2023 | 0.84% |
| Jan 1, 2023 | -1.42% |
| Oct 2, 2022 | -1.83% |
| Jul 3, 2022 | 0.65% |
| Apr 3, 2022 | 1.80% |
| 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();