Jones Lang Lasalle (JLL) Enterprise Value (2009 - 2026)
Jones Lang Lasalle (JLL) posted Enterprise Value of $13.59 billion for Q3 2026, down 1.3% from $13.77 billion a year earlier and down 2.5% 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 Sep 30, 2026, Enterprise Value at Jones Lang Lasalle was $12.09 billion, down 3.4% 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%).
- The Q3 2026 figure stands as the lowest quarterly Enterprise Value since Q2 2025.
- On a year-over-year basis, Enterprise Value increased in seven of the last eight quarters, with growth averaging 20.7%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q3 2024, with growth of 93.7%; the weakest was Q4 2022, with a decline of 44.3%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $13.94 billion (Q2 2026), $13.77 billion (Q1 2026) and $15.32 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cbre | 39.37 Bn | 32.67 Bn | 2.13 Bn |
| 2 | KE Holdings | 20.10 Bn | -9.36 Bn | - |
| 3 | Jones Lang Lasalle | 17.12 Bn | 15.11 Bn | - |
| 4 | Compass | 7.90 Bn | 6.35 Bn | - |
| 5 | Colliers International | 4.78 Bn | 3.93 Bn | - |
| 6 | Cushman & Wakefield | 3.30 Bn | 929.10 Mn | 486.30 Mn |
| 7 | Newmark | 2.11 Bn | 1.18 Bn | - |
| 8 | Marcus & Millichap | 987.28 Mn | 84.22 Mn | - |
| 9 | Agnt | 526.15 Mn | 57.18 Mn | 90.97 Mn |
| 10 | Rmr | 257.24 Mn | 7.32 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.59 Bn |
| 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 |
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();