Jones Lang Lasalle (JLL) Income After Tax (2009 - 2026)
Jones Lang Lasalle (JLL) posted Income After Tax 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.
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Analysis
Jones Lang Lasalle (JLL) Income After Tax (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Income After Tax at Jones Lang Lasalle was $1.09 billion, up 73.0% year-over-year; for FY2025, it came in at $792.2 million, up 44.9% from FY2024.
- Annual Income After Tax shows a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- In prior years, Jones Lang Lasalle's Income 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 Income 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, Income After Tax has increased in each of the last six quarters, with growth averaging 60.4% over the last eight quarters.
- The strongest year-over-year quarter for Income 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, Income After Tax for the three prior quarters was $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) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.15 Bn | 32.45 Bn | 2.13 Bn | 480.00 Mn |
| 2 | KE Holdings | 20.91 Bn | -6.27 Bn | 1.03 Bn | 666.48 Mn |
| 3 | Jones Lang Lasalle | 17.03 Bn | 15.02 Bn | - | 318.60 Mn |
| 4 | Compass | 7.76 Bn | 6.21 Bn | - | 82.00 Mn |
| 5 | Colliers International | 4.82 Bn | 3.86 Bn | 637.29 Mn | 51.15 Mn |
| 6 | Cushman & Wakefield | 3.29 Bn | 915.02 Mn | 486.30 Mn | 52.10 Mn |
| 7 | Newmark | 2.13 Bn | 1.20 Bn | - | 23.42 Mn |
| 8 | Marcus & Millichap | 1.05 Bn | 143.99 Mn | - | 3.91 Mn |
| 9 | Agnt | 521.12 Mn | 52.15 Mn | 90.97 Mn | -4.26 Mn |
| 10 | Rmr | 261.94 Mn | 12.02 Mn | - | 7.39 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 | 59.30 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 |
API Access
Jones Lang Lasalle Income 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();