Jones Lang Lasalle (JLL) Restructuring Costs (2009 - 2026)
Jones Lang Lasalle's Restructuring Costs came in at $25.7 million for Q2 2026, up 20.7% from $21.3 million a year earlier and up 384.9% from the prior quarter.
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Analysis
Jones Lang Lasalle (JLL) Restructuring Costs (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Jones Lang Lasalle reported Restructuring Costs of $65.3 million, up 28.3% year-over-year; for FY2025, it came in at $75.3 million, up 226.0% from FY2024.
- Restructuring Costs carries a five-year compound annual growth rate of -12.0% (FY2020 to FY2025).
- Going back by year, Restructuring Costs was $23.1 million in FY2024 (-77.1%), $100.7 million in FY2023 (-3.9%), $104.8 million in FY2022 (+23.7%) and $84.7 million in FY2021 (-40.5%).
- The Q2 2026 figure represents the highest quarterly Restructuring Costs since Q3 2023.
- Year-over-year, Restructuring Costs increased in three of the last five quarters, with growth averaging 8.0%.
- The fastest year-over-year change in Restructuring Costs over five years came in Q2 2025 (growth of 85.2%), and the weakest in Q1 2024 (a decline of 95.2%).
- Business Quant data shows JLL's Restructuring Costs at $5.3 million (Q1 2026), $22.6 million (Q4 2025) and $11.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cbre | 37.92 Bn | 31.69 Bn | 2.09 Bn |
| 2 | KE Holdings | 37.35 Bn | 18.06 Bn | 1.03 Bn |
| 3 | Jones Lang Lasalle | 14.31 Bn | 12.53 Bn | - |
| 4 | Compass | 6.79 Bn | 5.25 Bn | - |
| 5 | Colliers International | 4.60 Bn | 3.67 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.75 Bn | 233.71 Mn | 512.00 Mn |
| 7 | Newmark | 1.99 Bn | 1.36 Bn | - |
| 8 | Marcus & Millichap | 1.10 Bn | 195.57 Mn | - |
| 9 | Agnt | 593.27 Mn | 122.95 Mn | 98.80 Mn |
| 10 | Rmr | 587.71 Mn | 512.17 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.70 Mn |
| Mar 31, 2026 | 5.30 Mn |
| Dec 31, 2025 | 22.60 Mn |
| Sep 30, 2025 | 11.70 Mn |
| Jun 30, 2025 | 21.30 Mn |
| Mar 31, 2025 | 19.70 Mn |
| Dec 31, 2024 | 18.70 Mn |
| Sep 30, 2024 | -8.80 Mn |
| Jun 30, 2024 | 11.50 Mn |
| Mar 31, 2024 | 1.70 Mn |
| Dec 31, 2023 | 21.60 Mn |
| Sep 30, 2023 | 31.60 Mn |
| Jun 30, 2023 | 11.80 Mn |
| Mar 31, 2023 | 35.70 Mn |
| Dec 31, 2022 | 38.40 Mn |
| Sep 30, 2022 | 21.00 Mn |
| Jun 30, 2022 | 25.90 Mn |
| Mar 31, 2022 | 19.50 Mn |
| Dec 31, 2021 | 33.80 Mn |
| Sep 30, 2021 | 15.60 Mn |
API Access
Jones Lang Lasalle Restructuring Costs 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=restructuring-costs&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();