Jones Lang Lasalle (JLL) Price to Earnings (2010 - 2026)
Jones Lang Lasalle's Price to Earnings came in at 14.27 for Q2 2026, down 33.6% from 21.49 a year earlier and down 9.3% from the prior quarter.
Analysis
Jones Lang Lasalle (JLL) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2025, Jones Lang Lasalle's Price to Earnings was 19.94, down 9.2% from FY2024.
- Going back by year, Price to Earnings was 21.95 in FY2024 (-44.9%), 39.81 in FY2023 (+244.1%), 11.57 in FY2022 (-17.4%) and 14.01 in FY2021 (-25.6%).
- The Q2 2026 figure represents the lowest quarterly Price to Earnings since Q1 2023.
- Year-over-year, Price to Earnings has declined for eight consecutive quarters, with an average decline of 23.3% over the last eight quarters.
- The fastest year-over-year change in Price to Earnings over five years came in Q3 2023 (growth of 270.4%), and the weakest in Q3 2022 (a decline of 49.8%).
- Business Quant data shows JLL's Price to Earnings at 15.73 (Q1 2026), 19.94 (Q4 2025) and 22.29 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn |
| 10 | Rmr | 568.78 Mn | 493.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.27 |
| Mar 31, 2026 | 15.73 |
| Dec 31, 2025 | 19.94 |
| Sep 30, 2025 | 22.29 |
| Jun 30, 2025 | 21.49 |
| Mar 31, 2025 | 21.98 |
| Dec 31, 2024 | 21.95 |
| Sep 30, 2024 | 26.80 |
| Jun 30, 2024 | 25.48 |
| Mar 31, 2024 | 30.82 |
| Dec 31, 2023 | 39.81 |
| Sep 30, 2023 | 29.51 |
| Jun 30, 2023 | 24.12 |
| Mar 31, 2023 | 13.86 |
| Dec 31, 2022 | 11.57 |
| Sep 30, 2022 | 7.97 |
| Jun 30, 2022 | 8.45 |
| Mar 31, 2022 | 11.83 |
| Dec 31, 2021 | 14.01 |
| Sep 30, 2021 | 15.88 |
API Access
Jones Lang Lasalle Price to Earnings 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=price-to-earnings&ticker=JLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();