Jones Lang Lasalle (JLL) Profit After Tax (2009 - 2026)
Jones Lang Lasalle (JLL) posted Profit After Tax of $214.3 million for Q2 2026, up 93.9% from $110.5 million a year earlier and up 34.4% from the prior quarter.
Powered by 
Analysis
Jones Lang Lasalle (JLL) Profit After Tax (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Profit After Tax at Jones Lang Lasalle was $997.9 million, up 76.7% year-over-year; for FY2025, it came in at $792.2 million, up 44.9% from FY2024.
- Annual Profit After Tax shows a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- In prior years, Jones Lang Lasalle's Profit After Tax was $546.8 million in FY2024 (+141.7%), $226.2 million in FY2023 (-71.5%), $793.4 million in FY2022 (-17.3%) and $959.3 million in FY2021 (+126.9%).
- Quarterly Profit After Tax has run from a low of -$8.7 million in Q1 2023 to a high of $420.8 million in Q4 2021 over five years.
- On a year-over-year basis, Profit After Tax has increased in each of the last five quarters, with growth averaging 75.1% over the last eight quarters.
- The strongest year-over-year quarter for Profit After Tax in the past five years was Q1 2026, with growth of 177.2%; the weakest was Q2 2023, with a decline of 99.0%.
- According to Business Quant data, Profit After Tax for the three prior quarters was $159.4 million (Q1 2026), $401.8 million (Q4 2025) and $222.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.83 Bn | 31.60 Bn | 2.09 Bn | 247.00 Mn |
| 2 | KE Holdings | 37.44 Bn | 18.15 Bn | 1.03 Bn | 666.48 Mn |
| 3 | Jones Lang Lasalle | 14.17 Bn | 12.38 Bn | - | 214.30 Mn |
| 4 | Compass | 6.87 Bn | 5.33 Bn | - | 82.00 Mn |
| 5 | Colliers International | 4.67 Bn | 3.75 Bn | 635.11 Mn | 49.22 Mn |
| 6 | Cushman & Wakefield | 2.83 Bn | 308.75 Mn | 512.00 Mn | 52.70 Mn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - | 23.42 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 193.30 Mn | - | 3.91 Mn |
| 9 | Agnt | 594.94 Mn | 124.62 Mn | 98.80 Mn | -2.69 Mn |
| 10 | Rmr | 579.37 Mn | 503.83 Mn | - | 7.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 | 59.30 Mn |
| Jun 30, 2023 | 3.20 Mn |
| Mar 31, 2023 | -8.70 Mn |
| Dec 31, 2022 | 175.90 Mn |
| Sep 30, 2022 | 138.10 Mn |
| Jun 30, 2022 | 335.50 Mn |
| Mar 31, 2022 | 143.90 Mn |
| Dec 31, 2021 | 420.80 Mn |
| Sep 30, 2021 | 236.70 Mn |
API Access
Jones Lang Lasalle Profit After Tax 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=profit-after-tax&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();