Kelly Services (KELYA) Return on Capital Employed [ROCE] (2011 - 2026)
Kelly Services' Return on Capital Employed [ROCE] was -6.55% in Q2 2026, down 5.33 percentage points from -1.22% a year earlier and down 0.58 percentage points from the prior quarter.
Kelly Services (KELYA) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Kelly Services came in at -4.31%, down 3.46 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a four-year change of +1.56 percentage points (FY2021 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -0.85% in FY2024 (-2.36 pp), 1.52% in FY2023 (+0.62 pp), 0.90% in FY2022 and -5.87% in FY2021.
- Quarterly Return on Capital Employed [ROCE] has moved between -7.64% (Q3 2025) and 2.73% (Q2 2024) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for seven straight quarters, with an average year-over-year change of -3.93 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2024 (a gain of 4.23 percentage points); the worst was Q3 2025 (a drop of 10.33 percentage points).
- Per Business Quant data, KELYA's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -5.98% (Q1 2026), -4.65% (Q4 2025) and -7.64% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 22.86% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 33.88% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 7.54% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 8.75% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 7.98% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 31.56% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 25.89% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 29.65% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Kelly Services | 494.17 Mn | 381.27 Mn | 212.00 Mn | -6.55% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -6.55% |
| Mar 29, 2026 | -5.98% |
| Dec 28, 2025 | -4.65% |
| Sep 28, 2025 | -7.64% |
| Jun 29, 2025 | -1.22% |
| Mar 30, 2025 | -1.74% |
| Dec 29, 2024 | -0.82% |
| Sep 29, 2024 | 2.69% |
| Jun 30, 2024 | 2.73% |
| Mar 31, 2024 | 2.39% |
| Dec 31, 2023 | 1.57% |
| Oct 1, 2023 | -0.10% |
| Jul 2, 2023 | -1.50% |
| Apr 2, 2023 | -1.33% |
| Jan 1, 2023 | -0.54% |
| Oct 2, 2022 | 1.23% |
| Jul 3, 2022 | 3.40% |
| Apr 3, 2022 | 3.45% |
| Oct 3, 2021 | 2.52% |
| Jul 4, 2021 | 1.93% |
Kelly Services 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=KELYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=KELYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();