Jones Lang Lasalle (JLL) Exchange Rate Effect (2014 - 2026)
Jones Lang Lasalle (JLL) recorded Exchange Rate Effect of -$8.5 million in Q2 2026, compared with $23.8 million a year earlier.
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Analysis
Jones Lang Lasalle (JLL) Exchange Rate Effect (2014 - 2026) Analysis & Trends
On a TTM basis, Jones Lang Lasalle's Exchange Rate Effect came in at -$24.8 million as of Jun 30, 2026; for FY2025, it came in at $31.9 million.
- Annual Exchange Rate Effect has a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- Across earlier years, Exchange Rate Effect came in at -$28 million in FY2024, $6.3 million in FY2023, -$39.3 million in FY2022 and -$21 million in FY2021.
- Quarterly Exchange Rate Effect has ranged from -$30.9 million in Q2 2022 to $24.3 million in Q4 2022 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$12.7 million (Q1 2026), $700,000 (Q4 2025) and -$4.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | -886,741.86 |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | -3.00 Mn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | -8.50 Mn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 1.43 Mn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | -2.80 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | -140,000.00 |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | -932,000.00 |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.50 Mn |
| Mar 31, 2026 | -12.70 Mn |
| Dec 31, 2025 | 700,000.00 |
| Sep 30, 2025 | -4.30 Mn |
| Jun 30, 2025 | 23.80 Mn |
| Mar 31, 2025 | 11.70 Mn |
| Dec 31, 2024 | -26.20 Mn |
| Sep 30, 2024 | 12.90 Mn |
| Jun 30, 2024 | -5.00 Mn |
| Mar 31, 2024 | -9.70 Mn |
| Dec 31, 2023 | 15.90 Mn |
| Sep 30, 2023 | -13.40 Mn |
| Jun 30, 2023 | -700,000.00 |
| Mar 31, 2023 | 4.50 Mn |
| Dec 31, 2022 | 24.30 Mn |
| Sep 30, 2022 | -26.00 Mn |
| Jun 30, 2022 | -30.90 Mn |
| Mar 31, 2022 | -6.70 Mn |
| Dec 31, 2021 | -3.70 Mn |
| Sep 30, 2021 | -7.60 Mn |
API Access
Jones Lang Lasalle Exchange Rate Effect 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=exchange-rate-effect&ticker=JLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=JLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();