Jones Lang Lasalle (JLL) EBT (2009 - 2026)
Jones Lang Lasalle's EBT was $265.6 million in Q2 2026, up 93.6% from $137.2 million a year earlier and up 34.5% from the prior quarter.
Powered by 
Analysis
Jones Lang Lasalle (JLL) EBT (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jones Lang Lasalle's EBT was $1.24 billion through Jun 30, 2026, up 76.2% year-over-year; for FY2025, it came in at $981.7 million, up 44.5% from FY2024.
- EBT shows a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- In earlier years, EBT was $679.3 million in FY2024 (+169.7%), $251.9 million in FY2023 (-74.7%), $994.2 million in FY2022 (-18.7%) and $1.22 billion in FY2021 (+131.0%).
- Quarterly EBT has moved between -$11 million (Q1 2023) and $536.7 million (Q4 2021) over five years.
- Compared with a year earlier, EBT has increased for five straight quarters, with growth averaging 77.5% over the last eight quarters.
- The best year-over-year quarter for EBT over five years was Q1 2026 (growth of 176.2%); the worst was Q2 2023 (a decline of 99.0%).
- Per Business Quant data, JLL's EBT in the three quarters before Q2 2026 was $197.5 million (Q1 2026), $498 million (Q4 2025) and $275 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 38.10 Bn | 18.80 Bn | 1.03 Bn | 526.59 Mn |
| 2 | Cbre | 37.79 Bn | 31.56 Bn | 2.09 Bn | 315.00 Mn |
| 3 | Jones Lang Lasalle | 14.45 Bn | 12.66 Bn | - | 265.60 Mn |
| 4 | Compass | 6.85 Bn | 5.32 Bn | - | 87.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.67 Bn | 635.11 Mn | 76.05 Mn |
| 6 | Cushman & Wakefield | 2.78 Bn | 264.20 Mn | 512.00 Mn | 77.30 Mn |
| 7 | Newmark | 1.99 Bn | 1.37 Bn | - | 33.00 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 194.81 Mn | - | 6.27 Mn |
| 9 | Rmr | 593.80 Mn | 518.26 Mn | - | 9.29 Mn |
| 10 | Agnt | 586.58 Mn | 116.27 Mn | 98.80 Mn | 2.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 265.60 Mn |
| Mar 31, 2026 | 197.50 Mn |
| Dec 31, 2025 | 498.00 Mn |
| Sep 30, 2025 | 275.00 Mn |
| Jun 30, 2025 | 137.20 Mn |
| Mar 31, 2025 | 71.50 Mn |
| Dec 31, 2024 | 300.60 Mn |
| Sep 30, 2024 | 192.20 Mn |
| Jun 30, 2024 | 105.00 Mn |
| Mar 31, 2024 | 81.50 Mn |
| Dec 31, 2023 | 185.10 Mn |
| Sep 30, 2023 | 73.80 Mn |
| Jun 30, 2023 | 4.00 Mn |
| Mar 31, 2023 | -11.00 Mn |
| Dec 31, 2022 | 221.30 Mn |
| Sep 30, 2022 | 180.40 Mn |
| Jun 30, 2022 | 408.30 Mn |
| Mar 31, 2022 | 184.20 Mn |
| Dec 31, 2021 | 536.70 Mn |
| Sep 30, 2021 | 302.00 Mn |
API Access
Jones Lang Lasalle EBT 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=ebt&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();