Jones Lang Lasalle (JLL) Intangibles (2009 - 2026)
Jones Lang Lasalle (JLL) posted Intangibles of $635.7 million for Q2 2026, down 6.8% from $682 million a year earlier and down 2.2% from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Jones Lang Lasalle's Intangibles came in at $666.7 million, down 7.9% from FY2024.
- Annual Intangibles has declined for four consecutive years, with a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- In prior years, Jones Lang Lasalle's Intangibles was $724.1 million in FY2024 (-7.8%), $785 million in FY2023 (-8.6%), $858.5 million in FY2022 (-3.2%) and $887 million in FY2021 (+30.5%).
- The Q2 2026 figure stands as the lowest quarterly Intangibles since Q2 2019.
- On a year-over-year basis, Intangibles has declined in each of the last 15 quarters, with an average decline of 7.9% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was Q4 2021, with growth of 30.5%; the weakest was Q3 2024, with a decline of 10.2%.
- According to Business Quant data, Intangibles for the three prior quarters was $650.3 million (Q1 2026), $666.7 million (Q4 2025) and $671.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.36 Bn | 32.68 Bn | 2.09 Bn | 2.84 Bn |
| 2 | KE Holdings | 19.23 Bn | -7.96 Bn | 1.03 Bn | 97.15 Mn |
| 3 | Jones Lang Lasalle | 14.34 Bn | 12.41 Bn | - | 635.70 Mn |
| 4 | Compass | 7.39 Bn | 5.85 Bn | - | 2.97 Bn |
| 5 | Colliers International | 4.74 Bn | 3.81 Bn | 635.11 Mn | 1.47 Bn |
| 6 | Cushman & Wakefield | 2.71 Bn | 186.45 Mn | 512.00 Mn | 635.50 Mn |
| 7 | Newmark | 2.08 Bn | 1.16 Bn | - | 512.99 Mn |
| 8 | Marcus & Millichap | 1.07 Bn | 163.09 Mn | - | - |
| 9 | Agnt | 671.29 Mn | 200.98 Mn | 98.80 Mn | 4.92 Mn |
| 10 | Rmr | 293.45 Mn | 43.53 Mn | - | 20.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 635.70 Mn |
| Mar 31, 2026 | 650.30 Mn |
| Dec 31, 2025 | 666.70 Mn |
| Sep 30, 2025 | 671.40 Mn |
| Jun 30, 2025 | 682.00 Mn |
| Mar 31, 2025 | 701.80 Mn |
| Dec 31, 2024 | 724.10 Mn |
| Sep 30, 2024 | 721.10 Mn |
| Jun 30, 2024 | 743.90 Mn |
| Mar 31, 2024 | 762.60 Mn |
| Dec 31, 2023 | 785.00 Mn |
| Sep 30, 2023 | 803.20 Mn |
| Jun 30, 2023 | 821.10 Mn |
| Mar 31, 2023 | 833.10 Mn |
| Dec 31, 2022 | 858.50 Mn |
| Sep 30, 2022 | 861.60 Mn |
| Jun 30, 2022 | 871.90 Mn |
| Mar 31, 2022 | 879.50 Mn |
| Dec 31, 2021 | 887.00 Mn |
| Sep 30, 2021 | 680.60 Mn |
API Access
Jones Lang Lasalle Intangibles 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=intangibles&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();