Jones Lang Lasalle (JLL) Shares Outstanding (Diluted) (2009 - 2026)
Jones Lang Lasalle (JLL) posted Shares Outstanding (Diluted) of 46.93 million for Q2 2026, down 2.9% from 48.33 million a year earlier and down 1.8% from the prior quarter.
Jones Lang Lasalle (JLL) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Jones Lang Lasalle's Shares Outstanding (Diluted) came in at 48.31 million, down 0.1% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- In prior years, Jones Lang Lasalle's Shares Outstanding (Diluted) was 48.37 million in FY2024 (+0.2%), 48.29 million in FY2023 (-2.1%), 49.34 million in FY2022 (-5.2%) and 52.07 million in FY2021 (-0.4%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Diluted) since Q2 2019.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined in each of the last four quarters, with an average decline of 0.5% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2024, with growth of 0.2%; the weakest was Q3 2022, with a decline of 6.4%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 47.8 million (Q1 2026), 48.31 million (Q4 2025) and 48.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.36 Bn | 32.67 Bn | 2.09 Bn | 293.86 Mn |
| 2 | KE Holdings | 19.22 Bn | -7.96 Bn | 1.03 Bn | 1.16 Bn |
| 3 | Jones Lang Lasalle | 14.13 Bn | 12.21 Bn | - | 46.93 Mn |
| 4 | Compass | 7.35 Bn | 5.81 Bn | - | 842.38 Mn |
| 5 | Colliers International | 4.71 Bn | 3.79 Bn | 635.11 Mn | 51.08 Mn |
| 6 | Cushman & Wakefield | 2.71 Bn | 188.79 Mn | 512.00 Mn | 236.30 Mn |
| 7 | Newmark | 2.05 Bn | 1.13 Bn | - | 251.86 Mn |
| 8 | Marcus & Millichap | 1.07 Bn | 162.71 Mn | - | 38.02 Mn |
| 9 | Agnt | 658.83 Mn | 188.51 Mn | 98.80 Mn | 166.16 Mn |
| 10 | Rmr | 290.57 Mn | 40.65 Mn | - | 16.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.93 Mn |
| Mar 31, 2026 | 47.80 Mn |
| Dec 31, 2025 | 48.31 Mn |
| Sep 30, 2025 | 48.35 Mn |
| Jun 30, 2025 | 48.33 Mn |
| Mar 31, 2025 | 48.38 Mn |
| Dec 31, 2024 | 48.37 Mn |
| Sep 30, 2024 | 48.50 Mn |
| Jun 30, 2024 | 48.32 Mn |
| Mar 31, 2024 | 48.28 Mn |
| Dec 31, 2023 | 48.29 Mn |
| Sep 30, 2023 | 48.39 Mn |
| Jun 30, 2023 | 48.33 Mn |
| Mar 31, 2023 | 49.34 Mn |
| Dec 31, 2022 | 49.34 Mn |
| Sep 30, 2022 | 48.63 Mn |
| Jun 30, 2022 | 49.65 Mn |
| Mar 31, 2022 | 50.96 Mn |
| Dec 31, 2021 | 52.07 Mn |
| Sep 30, 2021 | 51.94 Mn |
Jones Lang Lasalle Shares Outstanding (Diluted) 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-diluted&ticker=JLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "JLL", "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-diluted&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();