Jones Lang Lasalle (JLL) Other Operating Expenses (2009 - 2026)
Jones Lang Lasalle's Other Operating Expenses was $3.42 billion in Q2 2026, up 9.3% from $3.13 billion a year earlier and up 7.5% from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jones Lang Lasalle's Other Operating Expenses was $13.38 billion through Jun 30, 2026, up 12.0% year-over-year; for FY2025, it was $12.77 billion, up 13.1% from FY2024.
- Other Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $11.29 billion in FY2024 (+12.1%), $10.07 billion in FY2023 (+4.4%), $9.65 billion in FY2022 (+13.7%) and $8.49 billion in FY2021 (+6.7%).
- Quarterly Other Operating Expenses has moved between $2.11 billion (Q3 2021) and $3.62 billion (Q4 2025) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for 23 straight quarters, with growth averaging 12.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Operating Expenses ranged from 0.3% (Q2 2023) to 21.0% (Q2 2022).
- Per Business Quant data, JLL's Other Operating Expenses in the three quarters before Q2 2026 was $3.18 billion (Q1 2026), $3.62 billion (Q4 2025) and $3.15 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.42 Bn |
| Mar 31, 2026 | 3.18 Bn |
| Dec 31, 2025 | 3.62 Bn |
| Sep 30, 2025 | 3.15 Bn |
| Jun 30, 2025 | 3.13 Bn |
| Mar 31, 2025 | 2.86 Bn |
| Dec 31, 2024 | 3.23 Bn |
| Sep 30, 2024 | 2.73 Bn |
| Jun 30, 2024 | 2.80 Bn |
| Mar 31, 2024 | 2.53 Bn |
| Dec 31, 2023 | 2.84 Bn |
| Sep 30, 2023 | 2.47 Bn |
| Jun 30, 2023 | 2.41 Bn |
| Mar 31, 2023 | 2.35 Bn |
| Dec 31, 2022 | 2.70 Bn |
| Sep 30, 2022 | 2.40 Bn |
| Jun 30, 2022 | 2.41 Bn |
| Mar 31, 2022 | 2.14 Bn |
| Dec 31, 2021 | 2.49 Bn |
| Sep 30, 2021 | 2.11 Bn |
API Access
Jones Lang Lasalle Other Operating Expenses 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=other-operating-expenses&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();