Jones Lang Lasalle (JLL) Prepaid Assets (2009 - 2026)
Jones Lang Lasalle (JLL) posted Prepaid Assets of $557.1 million for Q2 2026, down 10.2% from $620.7 million a year earlier and down 9.6% from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) Prepaid Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Jones Lang Lasalle's Prepaid Assets came in at $631.2 million, down 3.1% from FY2024.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- In prior years, Jones Lang Lasalle's Prepaid Assets was $651.3 million in FY2024 (+14.8%), $567.4 million in FY2023 (-6.0%), $603.5 million in FY2022 (+20.5%) and $500.7 million in FY2021 (-3.2%).
- The Q2 2026 figure stands as the lowest quarterly Prepaid Assets since Q2 2022.
- On a year-over-year basis, Prepaid Assets increased in four of the last eight quarters, with growth averaging 1.3%.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was Q3 2022, with growth of 48.0%; the weakest was Q3 2023, with a decline of 13.5%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $616.6 million (Q1 2026), $631.2 million (Q4 2025) and $595.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cbre | 37.88 Bn | 31.20 Bn | 2.09 Bn |
| 2 | KE Holdings | 19.11 Bn | -8.07 Bn | 1.03 Bn |
| 3 | Jones Lang Lasalle | 14.25 Bn | 12.33 Bn | - |
| 4 | Compass | 7.65 Bn | 6.10 Bn | - |
| 5 | Colliers International | 4.81 Bn | 3.89 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.39 Mn | 512.00 Mn |
| 7 | Newmark | 2.11 Bn | 1.18 Bn | - |
| 8 | Marcus & Millichap | 1.07 Bn | 165.55 Mn | - |
| 9 | Agnt | 690.40 Mn | 220.08 Mn | 98.80 Mn |
| 10 | Rmr | 296.53 Mn | 46.61 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 557.10 Mn |
| Mar 31, 2026 | 616.60 Mn |
| Dec 31, 2025 | 631.20 Mn |
| Sep 30, 2025 | 595.40 Mn |
| Jun 30, 2025 | 620.70 Mn |
| Mar 31, 2025 | 580.30 Mn |
| Dec 31, 2024 | 651.30 Mn |
| Sep 30, 2024 | 637.20 Mn |
| Jun 30, 2024 | 582.30 Mn |
| Mar 31, 2024 | 590.60 Mn |
| Dec 31, 2023 | 567.40 Mn |
| Sep 30, 2023 | 612.60 Mn |
| Jun 30, 2023 | 593.30 Mn |
| Mar 31, 2023 | 625.60 Mn |
| Dec 31, 2022 | 603.50 Mn |
| Sep 30, 2022 | 707.80 Mn |
| Jun 30, 2022 | 552.30 Mn |
| Mar 31, 2022 | 566.70 Mn |
| Dec 31, 2021 | 500.70 Mn |
| Sep 30, 2021 | 478.10 Mn |
API Access
Jones Lang Lasalle Prepaid Assets 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=prepaid-assets&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();