Jones Lang Lasalle (JLL) EPS (Diluted) (2009 - 2026)
Jones Lang Lasalle (JLL) reported EPS (Diluted) of $6.85 for Q3 2026, up 48.6% from $4.61 a year earlier and up 49.1% from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Jones Lang Lasalle's EPS (Diluted) came in at $23.47, up 79.7% year-over-year; for FY2025, it was $16.40, up 45.0% from FY2024.
- EPS (Diluted) has a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- By year, EPS (Diluted) came in at $11.30 in FY2024 (+142.2%), $4.67 in FY2023 (-64.8%), $13.26 in FY2022 (-28.2%) and $18.47 in FY2021 (+139.9%).
- Five-year quarterly EPS (Diluted) spans a low of -$0.19 in Q1 2023 and a high of $8.31 in Q4 2025.
- Year over year, EPS (Diluted) has now increased in each of the last six quarters, with growth averaging 63.0% over the last eight quarters.
- The high point for year-over-year EPS (Diluted) in five years was Q1 2026 (growth of 191.0%); the low point was Q2 2023 (a decline of 98.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $4.59 (Q2 2026), $3.33 (Q1 2026) and $8.31 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 40.04 Bn | 33.34 Bn | 2.13 Bn | 1.52 |
| 2 | KE Holdings | 20.34 Bn | -6.84 Bn | 1.03 Bn | 0.33 |
| 3 | Jones Lang Lasalle | 17.40 Bn | 15.39 Bn | - | 6.85 |
| 4 | Compass | 8.16 Bn | 6.61 Bn | - | 0.11 |
| 5 | Colliers International | 4.85 Bn | 3.90 Bn | 637.29 Mn | -0.47 |
| 6 | Cushman & Wakefield | 3.44 Bn | 1.06 Bn | 486.30 Mn | 0.22 |
| 7 | Newmark | 2.16 Bn | 1.23 Bn | - | 0.11 |
| 8 | Marcus & Millichap | 1.00 Bn | 98.21 Mn | - | 0.10 |
| 9 | Agnt | 533.70 Mn | 64.74 Mn | 90.97 Mn | -0.03 |
| 10 | Rmr | 264.79 Mn | 14.88 Mn | - | 0.19 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.85 |
| Jun 30, 2026 | 4.59 |
| Mar 31, 2026 | 3.33 |
| Dec 31, 2025 | 8.31 |
| Sep 30, 2025 | 4.61 |
| Jun 30, 2025 | 2.32 |
| Mar 31, 2025 | 1.14 |
| Dec 31, 2024 | 4.99 |
| Sep 30, 2024 | 3.20 |
| Jun 30, 2024 | 1.75 |
| Mar 31, 2024 | 1.37 |
| Dec 31, 2023 | 3.57 |
| Sep 30, 2023 | 1.23 |
| Jun 30, 2023 | 0.05 |
| Mar 31, 2023 | -0.19 |
| Dec 31, 2022 | 3.54 |
| Sep 30, 2022 | 2.88 |
| Jun 30, 2022 | 3.91 |
| Mar 31, 2022 | 2.86 |
| Dec 31, 2021 | 8.09 |
API Access
Jones Lang Lasalle EPS (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=eps-diluted&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();