Jones Lang Lasalle (JLL) Receivables (2009 - 2026)
Jones Lang Lasalle (JLL) posted Receivables of $2.58 billion for Q2 2026, up 9.7% from $2.36 billion a year earlier and up 3.2% from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Jones Lang Lasalle's Receivables came in at $2.92 billion, up 4.9% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In prior years, Jones Lang Lasalle's Receivables was $2.78 billion in FY2024 (+3.3%), $2.69 billion in FY2023 (-1.9%), $2.74 billion in FY2022 (+5.3%) and $2.6 billion in FY2021 (+24.3%).
- Quarterly Receivables has run from a low of $2.05 billion in Q3 2021 to a high of $2.64 billion in Q4 2025 over five years.
- On a year-over-year basis, Receivables has increased in each of the last eight quarters, with growth averaging 4.8% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q1 2022, with growth of 28.2%; the weakest was Q2 2024, with a decline of 5.0%.
- According to Business Quant data, Receivables for the three prior quarters was $2.5 billion (Q1 2026), $2.64 billion (Q4 2025) and $2.34 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | 9.30 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 2.58 Bn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 239.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 1.15 Bn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 1.81 Bn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 660.11 Mn |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 114,000.00 |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | 167.62 Mn |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 120.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.58 Bn |
| Mar 31, 2026 | 2.50 Bn |
| Dec 31, 2025 | 2.64 Bn |
| Sep 30, 2025 | 2.34 Bn |
| Jun 30, 2025 | 2.36 Bn |
| Mar 31, 2025 | 2.33 Bn |
| Dec 31, 2024 | 2.49 Bn |
| Sep 30, 2024 | 2.33 Bn |
| Jun 30, 2024 | 2.22 Bn |
| Mar 31, 2024 | 2.24 Bn |
| Dec 31, 2023 | 2.43 Bn |
| Sep 30, 2023 | 2.27 Bn |
| Jun 30, 2023 | 2.34 Bn |
| Mar 31, 2023 | 2.34 Bn |
| Dec 31, 2022 | 2.51 Bn |
| Sep 30, 2022 | 2.28 Bn |
| Jun 30, 2022 | 2.21 Bn |
| Mar 31, 2022 | 2.23 Bn |
| Dec 31, 2021 | 2.35 Bn |
| Sep 30, 2021 | 2.05 Bn |
API Access
Jones Lang Lasalle Receivables 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=receivables&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();