Kelly Services (KELYA) Cost of Revenue (2009 - 2026)
Kelly Services (KELYA) reported Cost of Revenue of $826.2 million for Q2 2026, down 5.7% from $876.3 million a year earlier and down 2.1% from the prior quarter.
Kelly Services (KELYA) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Kelly Services' Cost of Revenue came in at $3.26 billion, down 8.6% year-over-year; for FY2025, it was $3.4 billion, down 1.5% from FY2024.
- Cost of Revenue has declined for three consecutive years, with a four-year compound annual growth rate of -2.0% (FY2021 to FY2025).
- By year, Cost of Revenue came in at $3.45 billion in FY2024 (-11.0%), $3.87 billion in FY2023 (-2.0%), $3.95 billion in FY2022 and $3.69 billion in FY2021.
- Five-year quarterly Cost of Revenue spans a low of $741 million in Q3 2025 and a high of $1.01 billion in Q1 2023.
- Year over year, Cost of Revenue has now declined in each of the last four quarters, with an average decline of 4.1% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q1 2025 (growth of 10.6%); the low point was Q1 2024 (a decline of 17.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $844.3 million (Q1 2026), $852.2 million (Q4 2025) and $741 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 12.69 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 1.46 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 926.65 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 506.77 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 1.78 Bn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 400.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 4.63 Bn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 433.14 Mn |
| 10 | Kelly Services | 487.19 Mn | 382.19 Mn | 194.40 Mn | 732.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 732.80 Mn |
| Jun 28, 2026 | 826.20 Mn |
| Mar 29, 2026 | 844.30 Mn |
| Dec 28, 2025 | 852.20 Mn |
| Sep 28, 2025 | 741.00 Mn |
| Jun 29, 2025 | 876.30 Mn |
| Mar 30, 2025 | 928.40 Mn |
| Dec 29, 2024 | 949.60 Mn |
| Sep 29, 2024 | 816.40 Mn |
| Jun 30, 2024 | 843.80 Mn |
| Mar 31, 2024 | 839.40 Mn |
| Dec 31, 2023 | 994.00 Mn |
| Oct 1, 2023 | 889.50 Mn |
| Jul 2, 2023 | 976.60 Mn |
| Apr 2, 2023 | 1.01 Bn |
| Dec 31, 2022 | 3.95 Bn |
| Oct 2, 2022 | 927.30 Mn |
| Jul 3, 2022 | 1.00 Bn |
| Apr 3, 2022 | 1.04 Bn |
| Dec 31, 2021 | 3.99 Bn |
Kelly Services Cost of Revenue 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=cost-of-revenue&ticker=KELYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=KELYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();