Evercore (EVR) Operating Leases (2019 - 2026)
Evercore (EVR) posted Operating Leases of $487.91 million for Q2 2026, down 0.9% from $492.17 million a year earlier and down 1.9% from the prior quarter.
Evercore (EVR) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Evercore's Operating Leases came in at $508.19 million, up 2.8% from FY2024.
- Annual Operating Leases has increased for three consecutive years, with a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- In prior years, Evercore's Operating Leases was $494.17 million in FY2024 (+13.8%), $434.25 million in FY2023 (+56.2%), $278.08 million in FY2022 (-6.5%) and $297.47 million in FY2021 (-0.9%).
- Quarterly Operating Leases has run from a low of $276.7 million in Q3 2022 to a high of $508.19 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Leases increased in five of the last eight quarters, with growth averaging 7.3%.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q3 2023, with growth of 58.3%; the weakest was Q4 2022, with a decline of 6.5%.
- According to Business Quant data, Operating Leases for the three prior quarters was $497.43 million (Q1 2026), $508.19 million (Q4 2025) and $482.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn |
| 10 | Evercore | 9.73 Bn | -119.28 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 487.91 Mn |
| Mar 31, 2026 | 497.43 Mn |
| Dec 31, 2025 | 508.19 Mn |
| Sep 30, 2025 | 482.89 Mn |
| Jun 30, 2025 | 492.17 Mn |
| Mar 31, 2025 | 499.60 Mn |
| Dec 31, 2024 | 494.17 Mn |
| Sep 30, 2024 | 430.87 Mn |
| Jun 30, 2024 | 423.18 Mn |
| Mar 31, 2024 | 428.26 Mn |
| Dec 31, 2023 | 434.25 Mn |
| Sep 30, 2023 | 438.15 Mn |
| Jun 30, 2023 | 421.47 Mn |
| Mar 31, 2023 | 289.38 Mn |
| Dec 31, 2022 | 278.08 Mn |
| Sep 30, 2022 | 276.70 Mn |
| Jun 30, 2022 | 278.77 Mn |
| Mar 31, 2022 | 288.77 Mn |
| Dec 31, 2021 | 297.47 Mn |
| Sep 30, 2021 | 291.80 Mn |
Evercore Operating Leases 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=operating-leases&ticker=EVR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "EVR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-leases&ticker=EVR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();