Jones Lang Lasalle (JLL) Net Income (2009 - 2026)
Jones Lang Lasalle (JLL) reported Net Income of $318.6 million for Q3 2026, up 43.3% from $222.4 million a year earlier and up 48.7% from the prior quarter.
Powered by 
Analysis
Jones Lang Lasalle (JLL) Net Income (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Jones Lang Lasalle's Net Income came in at $1.09 billion, up 73.0% year-over-year; for FY2025, it was $792.2 million, up 44.9% from FY2024.
- Net Income has a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- By year, Net Income came in at $546.8 million in FY2024 (+141.7%), $226.2 million in FY2023 (-71.5%), $793.4 million in FY2022 (-17.5%) and $961.6 million in FY2021 (+127.5%).
- Five-year quarterly Net Income spans a low of -$9.2 million in Q1 2023 and a high of $421.4 million in Q4 2021.
- Year over year, Net Income has now increased in each of the last six quarters, with growth averaging 60.4% over the last eight quarters.
- The high point for year-over-year Net Income in five years was Q1 2026 (growth of 177.2%); the low point was Q2 2023 (a decline of 99.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $214.3 million (Q2 2026), $159.4 million (Q1 2026) and $401.8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 40.70 Bn | 13.61 Bn | 1.03 Bn | 386.71 Mn |
| 2 | Cbre | 38.87 Bn | 32.63 Bn | 2.13 Bn | 480.00 Mn |
| 3 | Jones Lang Lasalle | 17.10 Bn | 15.24 Bn | - | 318.60 Mn |
| 4 | Compass | 7.63 Bn | 5.42 Bn | - | 63.00 Mn |
| 5 | Colliers International | 4.71 Bn | 3.76 Bn | 637.29 Mn | 51.15 Mn |
| 6 | Cushman & Wakefield | 3.26 Bn | 888.95 Mn | 486.30 Mn | 52.10 Mn |
| 7 | Newmark | 1.79 Bn | 649.67 Mn | 596.85 Mn | 58.99 Mn |
| 8 | Marcus & Millichap | 934.37 Mn | 31.72 Mn | 74.92 Mn | 1.01 Mn |
| 9 | Rmr | 505.91 Mn | 430.36 Mn | - | 7.39 Mn |
| 10 | Agnt | 476.02 Mn | 7.06 Mn | 90.97 Mn | -4.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 318.60 Mn |
| Jun 30, 2026 | 214.30 Mn |
| Mar 31, 2026 | 159.40 Mn |
| Dec 31, 2025 | 401.80 Mn |
| Sep 30, 2025 | 222.40 Mn |
| Jun 30, 2025 | 110.50 Mn |
| Mar 31, 2025 | 57.50 Mn |
| Dec 31, 2024 | 241.90 Mn |
| Sep 30, 2024 | 154.80 Mn |
| Jun 30, 2024 | 84.50 Mn |
| Mar 31, 2024 | 65.60 Mn |
| Dec 31, 2023 | 172.40 Mn |
| Sep 30, 2023 | 59.70 Mn |
| Jun 30, 2023 | 3.20 Mn |
| Mar 31, 2023 | -9.20 Mn |
| Dec 31, 2022 | 175.90 Mn |
| Sep 30, 2022 | 140.20 Mn |
| Jun 30, 2022 | 335.50 Mn |
| Mar 31, 2022 | 145.60 Mn |
| Dec 31, 2021 | 421.40 Mn |
API Access
Jones Lang Lasalle Net Income 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=net-income&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();