Jones Lang Lasalle (JLL) EBIT (2009 - 2026)
Jones Lang Lasalle's EBIT came in at $290.9 million for Q2 2026, up 47.4% from $197.4 million a year earlier and up 42.2% from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) EBIT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Jones Lang Lasalle reported EBIT of $1.28 billion, up 38.9% year-over-year; for FY2025, it was $1.1 billion, up 26.5% from FY2024.
- EBIT carries a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- Going back by year, EBIT was $868.1 million in FY2024 (+50.6%), $576.5 million in FY2023 (-33.6%), $868.1 million in FY2022 (-16.8%) and $1.04 billion in FY2021 (+86.6%).
- The five-year range for quarterly EBIT is $17.8 million (Q1 2023) to $506.9 million (Q4 2025).
- Year-over-year, EBIT has increased for 11 consecutive quarters, with growth averaging 41.0% over the last eight quarters.
- The fastest year-over-year change in EBIT over five years came in Q1 2024 (growth of 541.6%), and the weakest in Q1 2023 (a decline of 89.9%).
- Business Quant data shows JLL's EBIT at $204.6 million (Q1 2026), $506.9 million (Q4 2025) and $273.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.92 Bn | 31.69 Bn | 2.09 Bn | 365.00 Mn |
| 2 | KE Holdings | 37.35 Bn | 18.06 Bn | 1.03 Bn | 446.01 Mn |
| 3 | Jones Lang Lasalle | 14.31 Bn | 12.53 Bn | - | 290.90 Mn |
| 4 | Compass | 6.79 Bn | 5.25 Bn | - | 124.00 Mn |
| 5 | Colliers International | 4.60 Bn | 3.67 Bn | 635.11 Mn | 800,000.00 |
| 6 | Cushman & Wakefield | 2.75 Bn | 233.71 Mn | 512.00 Mn | 134.20 Mn |
| 7 | Newmark | 1.99 Bn | 1.36 Bn | - | 40.41 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 195.57 Mn | - | 2.21 Mn |
| 9 | Agnt | 593.27 Mn | 122.95 Mn | 98.80 Mn | 1.64 Mn |
| 10 | Rmr | 587.71 Mn | 512.17 Mn | - | -9.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 290.90 Mn |
| Mar 31, 2026 | 204.60 Mn |
| Dec 31, 2025 | 506.90 Mn |
| Sep 30, 2025 | 273.70 Mn |
| Jun 30, 2025 | 197.40 Mn |
| Mar 31, 2025 | 120.00 Mn |
| Dec 31, 2024 | 373.20 Mn |
| Sep 30, 2024 | 228.30 Mn |
| Jun 30, 2024 | 152.40 Mn |
| Mar 31, 2024 | 114.20 Mn |
| Dec 31, 2023 | 290.40 Mn |
| Sep 30, 2023 | 119.10 Mn |
| Jun 30, 2023 | 149.20 Mn |
| Mar 31, 2023 | 17.80 Mn |
| Dec 31, 2022 | 254.70 Mn |
| Sep 30, 2022 | 202.60 Mn |
| Jun 30, 2022 | 235.10 Mn |
| Mar 31, 2022 | 175.70 Mn |
| Dec 31, 2021 | 445.60 Mn |
| Sep 30, 2021 | 292.90 Mn |
API Access
Jones Lang Lasalle EBIT 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=ebit&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();