Jones Lang Lasalle (JLL) Other Non Operating Income (2016 - 2026)
Jones Lang Lasalle (JLL) posted Other Non Operating Income of $3.3 million for Q2 2026, up 32.0% from $2.5 million a year earlier and up 37.5% from the prior quarter.
Jones Lang Lasalle (JLL) Other Non Operating Income (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Non Operating Income at Jones Lang Lasalle was $13.2 million, up 10.9% year-over-year; for FY2025, it was $11.7 million, down 38.1% from FY2024.
- Annual Other Non Operating Income shows a five-year compound annual growth rate of -5.2% (FY2020 to FY2025).
- In prior years, Jones Lang Lasalle's Other Non Operating Income was $18.9 million in FY2024 (+285.7%), $4.9 million in FY2023 (-96.7%), $150.3 million in FY2022 and $10.8 million in FY2021 (-29.4%).
- Quarterly Other Non Operating Income has run from a low of -$2.1 million in Q4 2021 to a high of $135.3 million in Q2 2022 over five years.
- On a year-over-year basis, Other Non Operating Income increased in five of the last eight quarters, with growth averaging 8.4%.
- The strongest year-over-year quarter for Other Non Operating Income in the past five years was Q3 2023, with growth of 500.0%; the weakest was Q1 2022, with a decline of 98.3%.
- According to Business Quant data, Other Non Operating Income for the three prior quarters was $2.4 million (Q1 2026), $4.4 million (Q4 2025) and $3.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cbre | 37.83 Bn | 31.60 Bn | 2.09 Bn |
| 2 | KE Holdings | 37.44 Bn | 18.15 Bn | 1.03 Bn |
| 3 | Jones Lang Lasalle | 14.17 Bn | 12.38 Bn | - |
| 4 | Compass | 6.87 Bn | 5.33 Bn | - |
| 5 | Colliers International | 4.67 Bn | 3.75 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.83 Bn | 308.75 Mn | 512.00 Mn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - |
| 8 | Marcus & Millichap | 1.10 Bn | 193.30 Mn | - |
| 9 | Agnt | 594.94 Mn | 124.62 Mn | 98.80 Mn |
| 10 | Rmr | 579.37 Mn | 503.83 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.30 Mn |
| Mar 31, 2026 | 2.40 Mn |
| Dec 31, 2025 | 4.40 Mn |
| Sep 30, 2025 | 3.10 Mn |
| Jun 30, 2025 | 2.50 Mn |
| Mar 31, 2025 | 1.70 Mn |
| Dec 31, 2024 | 4.80 Mn |
| Sep 30, 2024 | 2.90 Mn |
| Jun 30, 2024 | 9.70 Mn |
| Mar 31, 2024 | 1.50 Mn |
| Dec 31, 2023 | 3.00 Mn |
| Sep 30, 2023 | 3.00 Mn |
| Jun 30, 2023 | -1.20 Mn |
| Mar 31, 2023 | 100,000.00 |
| Dec 31, 2022 | 14.30 Mn |
| Sep 30, 2022 | 500,000.00 |
| Jun 30, 2022 | 135.30 Mn |
| Mar 31, 2022 | 200,000.00 |
| Dec 31, 2021 | -2.10 Mn |
| Sep 30, 2021 | 1.30 Mn |
Jones Lang Lasalle Other Non Operating Income 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-non-operating-income&ticker=JLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-operating-income", "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-non-operating-income&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();