Kelly Services (KELYA) Selling, General & Administrative (2010 - 2026)
Kelly Services (KELYA) recorded Selling, General & Administrative of $195.9 million in Q2 2026, down 5.5% from $207.3 million a year earlier and down 1.7% from the prior quarter.
Kelly Services (KELYA) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Kelly Services' Selling, General & Administrative came in at $788.1 million as of Jun 28, 2026, down 9.4% year-over-year; for FY2025, it was $825.9 million, up 0.9% from FY2024.
- Annual Selling, General & Administrative has a four-year compound annual growth rate of 0.6% (FY2021 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $818.4 million in FY2024 (-12.4%), $934.7 million in FY2023 (-0.9%), $943.5 million in FY2022 and $805.6 million in FY2021.
- Quarterly Selling, General & Administrative has ranged from $190.5 million in Q1 2024 to $303.6 million in Q4 2022 over the past five years.
- On a year-over-year basis, Selling, General & Administrative has declined for four consecutive quarters, with an average decline of 2.5% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 18.5% in Q1 2025, against a decline of 23.9% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $199.3 million (Q1 2026), $198.5 million (Q4 2025) and $194.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 1.15 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 402.34 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 78.63 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 334.98 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 764.59 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Kelly Services | 494.17 Mn | 381.27 Mn | 212.00 Mn | 195.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 195.90 Mn |
| Mar 29, 2026 | 199.30 Mn |
| Dec 28, 2025 | 198.50 Mn |
| Sep 28, 2025 | 194.40 Mn |
| Jun 29, 2025 | 207.30 Mn |
| Mar 30, 2025 | 225.70 Mn |
| Dec 29, 2024 | 217.40 Mn |
| Sep 29, 2024 | 219.00 Mn |
| Jun 30, 2024 | 191.50 Mn |
| Mar 31, 2024 | 190.50 Mn |
| Dec 31, 2023 | 230.90 Mn |
| Oct 1, 2023 | 228.40 Mn |
| Jul 2, 2023 | 232.00 Mn |
| Apr 2, 2023 | 243.40 Mn |
| Jan 1, 2023 | 303.60 Mn |
| Oct 2, 2022 | 231.10 Mn |
| Jul 3, 2022 | 240.10 Mn |
| Apr 3, 2022 | 236.10 Mn |
| Oct 3, 2021 | 219.90 Mn |
| Jul 4, 2021 | 217.30 Mn |
Kelly Services Selling, General & Administrative 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=selling-general-and-administrative&ticker=KELYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=KELYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();