Kelly Services (KELYA) Shares Outstanding (2010 - 2026)
Kelly Services (KELYA) reported Shares Outstanding of 34.7 million for Q2 2026, down 1.4% from 35.2 million a year earlier but up 0.9% from the prior quarter.
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Analysis
Kelly Services (KELYA) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Kelly Services posted Shares Outstanding of 35.1 million, down 1.1% from FY2024.
- Shares Outstanding has declined for three consecutive years, with a four-year compound annual growth rate of -2.8% (FY2021 to FY2025).
- By year, Shares Outstanding came in at 35.5 million in FY2024 (-1.1%), 35.9 million in FY2023 (-5.8%), 38.1 million in FY2022 and 39.3 million in FY2021.
- Five-year quarterly Shares Outstanding spans a low of 34.4 million in Q1 2026 and a high of 38.1 million in Q4 2022.
- Year over year, Shares Outstanding has now declined in each of the last seven quarters, with an average decline of 1.0% over the last eight quarters.
- The high point for year-over-year Shares Outstanding in five years was Q3 2024 (growth of 0.6%); the low point was Q4 2023 (a decline of 5.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 34.4 million (Q1 2026), 35.1 million (Q4 2025) and 35.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 612.21 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 401.27 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 297.74 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 433.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 481.38 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 263.59 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 202.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 66.50 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | 504.80 Mn |
| 10 | Kelly Services | 509.58 Mn | 396.68 Mn | 212.00 Mn | 34.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 34.70 Mn |
| Mar 29, 2026 | 34.40 Mn |
| Dec 28, 2025 | 35.10 Mn |
| Sep 28, 2025 | 35.30 Mn |
| Jun 29, 2025 | 35.20 Mn |
| Mar 30, 2025 | 35.00 Mn |
| Dec 29, 2024 | 35.50 Mn |
| Sep 29, 2024 | 35.60 Mn |
| Jun 30, 2024 | 35.50 Mn |
| Mar 31, 2024 | 35.40 Mn |
| Dec 31, 2023 | 35.90 Mn |
| Oct 1, 2023 | 35.40 Mn |
| Jul 2, 2023 | 36.00 Mn |
| Apr 2, 2023 | 37.10 Mn |
| Jan 1, 2023 | 38.10 Mn |
| Oct 2, 2022 | 37.90 Mn |
| Jul 3, 2022 | 37.90 Mn |
| Apr 3, 2022 | 38.60 Mn |
| Jan 2, 2022 | 39.40 Mn |
| Oct 3, 2021 | 39.40 Mn |
API Access
Kelly Services Shares Outstanding 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=shares-outstanding&ticker=KELYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=KELYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();