Jones Lang Lasalle (JLL) Ending Cash Balance (2010 - 2026)
Jones Lang Lasalle (JLL) reported Ending Cash Balance of $785.8 million for Q3 2026, up 14.3% from $687.4 million a year earlier and up 6.6% from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) Ending Cash Balance (2010 - 2026) Analysis & Trends
For FY2025, Jones Lang Lasalle posted Ending Cash Balance of $898.9 million, up 37.7% from FY2024.
- Ending Cash Balance has a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- By year, Ending Cash Balance came in at $652.7 million in FY2024 (-1.6%), $663.4 million in FY2023 (-11.1%), $746 million in FY2022 (-11.4%) and $841.6 million in FY2021 (+0.2%).
- Five-year quarterly Ending Cash Balance spans a low of $593.6 million in Q3 2023 and a high of $898.9 million in Q4 2025.
- Year over year, Ending Cash Balance has now increased in each of the last seven quarters, with growth averaging 10.4% over the last eight quarters.
- The high point for year-over-year Ending Cash Balance in five years was Q4 2025 (growth of 37.7%); the low point was Q2 2023 (a decline of 23.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $737.1 million (Q2 2026), $719.3 million (Q1 2026) and $898.9 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Ending Cash Balance (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 40.21 Bn | 33.51 Bn | 2.13 Bn | 1.82 Bn |
| 2 | KE Holdings | 20.27 Bn | -6.92 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 17.36 Bn | 15.35 Bn | - | 785.80 Mn |
| 4 | Compass | 8.26 Bn | 6.71 Bn | - | 694.00 Mn |
| 5 | Colliers International | 4.88 Bn | 3.92 Bn | 637.29 Mn | 84.39 Mn |
| 6 | Cushman & Wakefield | 3.38 Bn | 1.01 Bn | 486.30 Mn | 506.50 Mn |
| 7 | Newmark | 2.15 Bn | 1.22 Bn | - | 263.62 Mn |
| 8 | Marcus & Millichap | 1.02 Bn | 116.56 Mn | - | 153.52 Mn |
| 9 | Agnt | 533.70 Mn | 64.74 Mn | 90.97 Mn | - |
| 10 | Rmr | 262.70 Mn | 12.78 Mn | - | 58.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 785.80 Mn |
| Jun 30, 2026 | 737.10 Mn |
| Mar 31, 2026 | 719.30 Mn |
| Dec 31, 2025 | 898.90 Mn |
| Sep 30, 2025 | 687.40 Mn |
| Jun 30, 2025 | 670.50 Mn |
| Mar 31, 2025 | 644.70 Mn |
| Dec 31, 2024 | 652.70 Mn |
| Sep 30, 2024 | 649.60 Mn |
| Jun 30, 2024 | 657.60 Mn |
| Mar 31, 2024 | 625.30 Mn |
| Dec 31, 2023 | 663.40 Mn |
| Sep 30, 2023 | 593.60 Mn |
| Jun 30, 2023 | 613.70 Mn |
| Mar 31, 2023 | 735.50 Mn |
| Dec 31, 2022 | 746.00 Mn |
| Sep 30, 2022 | 728.80 Mn |
| Jun 30, 2022 | 802.80 Mn |
| Mar 31, 2022 | 831.00 Mn |
| Dec 31, 2021 | 841.60 Mn |
API Access
Jones Lang Lasalle Ending Cash Balance 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=ending-cash-balance&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ending-cash-balance", "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=ending-cash-balance&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();