Jones Lang Lasalle (JLL) Cash from Operations (2009 - 2026)
Jones Lang Lasalle's Cash from Operations was $488.1 million in Q2 2026, up 46.7% from $332.8 million a year earlier.
Powered by 
Analysis
Jones Lang Lasalle (JLL) Cash from Operations (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jones Lang Lasalle's Cash from Operations was $1.36 billion through Jun 30, 2026, up 80.6% year-over-year; for FY2025, it came in at $1.19 billion, up 52.1% from FY2024.
- Cash from Operations has now increased for three consecutive years, with a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $785.3 million in FY2024 (+36.4%), $575.8 million in FY2023 (+188.0%), $199.9 million in FY2022 (-79.4%) and $972.4 million in FY2021 (-12.8%).
- Quarterly Cash from Operations has moved between -$767.6 million (Q1 2025) and $1.01 billion (Q4 2025) over five years.
- Compared with a year earlier, Cash from Operations was higher in five of the last six quarters, with growth averaging 36.8%.
- The best year-over-year quarter for Cash from Operations over five years was Q3 2023 (growth of 136.9%); the worst was Q3 2022 (a decline of 69.9%).
- Per Business Quant data, JLL's Cash from Operations in the three quarters before Q2 2026 was -$755 million (Q1 2026), $1.01 billion (Q4 2025) and $617.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | 971.06 Mn |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | 138.00 Mn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 488.10 Mn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 191.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 139.66 Mn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 54.00 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 362.47 Mn |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 22.18 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | 38.77 Mn |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 23.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 488.10 Mn |
| Mar 31, 2026 | -755.00 Mn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 617.10 Mn |
| Jun 30, 2025 | 332.80 Mn |
| Mar 31, 2025 | -767.60 Mn |
| Dec 31, 2024 | 927.30 Mn |
| Sep 30, 2024 | 261.60 Mn |
| Jun 30, 2024 | 273.90 Mn |
| Mar 31, 2024 | -677.50 Mn |
| Dec 31, 2023 | 729.40 Mn |
| Sep 30, 2023 | 325.70 Mn |
| Jun 30, 2023 | 237.00 Mn |
| Mar 31, 2023 | -716.30 Mn |
| Dec 31, 2022 | 601.80 Mn |
| Sep 30, 2022 | 137.50 Mn |
| Jun 30, 2022 | 177.00 Mn |
| Mar 31, 2022 | -716.40 Mn |
| Dec 31, 2021 | 762.10 Mn |
| Sep 30, 2021 | 456.40 Mn |
API Access
Jones Lang Lasalle Cash from Operations 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=cash-from-operations&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();