Jones Lang Lasalle (JLL) Enterprise Value (2009 - 2026)
Jones Lang Lasalle (JLL) posted Enterprise Value of $13.94 billion for Q2 2026, up 17.8% from $11.84 billion a year earlier and up 1.2% from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) Enterprise Value (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Jones Lang Lasalle was $12.48 billion, up 18.2% year-over-year; for FY2025, it came in at $15.32 billion, up 30.8% from FY2024.
- Annual Enterprise Value has increased for three consecutive years, with a five-year compound annual growth rate of 16.9% (FY2020 to FY2025).
- In prior years, Jones Lang Lasalle's Enterprise Value was $11.71 billion in FY2024 (+34.9%), $8.68 billion in FY2023 (+21.0%), $7.17 billion in FY2022 (-44.3%) and $12.89 billion in FY2021 (+83.7%).
- Quarterly Enterprise Value has run from a low of $6.45 billion in Q3 2023 to a high of $15.32 billion in Q4 2025 over five years.
- On a year-over-year basis, Enterprise Value has increased in each of the last 11 quarters, with growth averaging 32.6% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q3 2021, with growth of 164.8%; the weakest was Q4 2022, with a decline of 44.3%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $13.77 billion (Q1 2026), $15.32 billion (Q4 2025) and $13.77 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cbre | 37.92 Bn | 31.69 Bn | 2.09 Bn |
| 2 | KE Holdings | 37.35 Bn | 18.06 Bn | 1.03 Bn |
| 3 | Jones Lang Lasalle | 14.31 Bn | 12.53 Bn | - |
| 4 | Compass | 6.79 Bn | 5.25 Bn | - |
| 5 | Colliers International | 4.60 Bn | 3.67 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.75 Bn | 233.71 Mn | 512.00 Mn |
| 7 | Newmark | 1.99 Bn | 1.36 Bn | - |
| 8 | Marcus & Millichap | 1.10 Bn | 195.57 Mn | - |
| 9 | Agnt | 593.27 Mn | 122.95 Mn | 98.80 Mn |
| 10 | Rmr | 587.71 Mn | 512.17 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.94 Bn |
| Mar 31, 2026 | 13.77 Bn |
| Dec 31, 2025 | 15.32 Bn |
| Sep 30, 2025 | 13.77 Bn |
| Jun 30, 2025 | 11.84 Bn |
| Mar 31, 2025 | 11.47 Bn |
| Dec 31, 2024 | 11.71 Bn |
| Sep 30, 2024 | 12.49 Bn |
| Jun 30, 2024 | 9.44 Bn |
| Mar 31, 2024 | 8.98 Bn |
| Dec 31, 2023 | 8.68 Bn |
| Sep 30, 2023 | 6.45 Bn |
| Jun 30, 2023 | 7.15 Bn |
| Mar 31, 2023 | 6.56 Bn |
| Dec 31, 2022 | 7.17 Bn |
| Sep 30, 2022 | 6.92 Bn |
| Jun 30, 2022 | 8.10 Bn |
| Mar 31, 2022 | 11.55 Bn |
| Dec 31, 2021 | 12.89 Bn |
| Sep 30, 2021 | 12.11 Bn |
API Access
Jones Lang Lasalle Enterprise Value 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=enterprise-value&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();