Evercore (EVR) EBITDA (2010 - 2026)
Evercore (EVR) posted EBITDA of $162.13 million for Q2 2026, up 3.6% from $156.46 million a year earlier but down 54.2% from the prior quarter.
Evercore (EVR) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Evercore was $1.07 billion, up 72.9% year-over-year; for FY2025, it was $828.62 million, up 50.8% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 6.9% (FY2020 to FY2025).
- In prior years, Evercore's EBITDA was $549.53 million in FY2024 (+42.8%), $384.9 million in FY2023 (-48.6%), $749.54 million in FY2022 (-35.5%) and $1.16 billion in FY2021 (+96.3%).
- Quarterly EBITDA has run from a low of $64.26 million in Q2 2023 to a high of $471.74 million in Q4 2021 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last nine quarters, with growth averaging 66.3% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2021, with growth of 232.8%; the weakest was Q2 2023, with a decline of 59.8%.
- According to Business Quant data, EBITDA for the three prior quarters was $354.37 million (Q1 2026), $328.78 million (Q4 2025) and $224.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | 1.19 Bn |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | 1.78 Bn |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | 891.00 Mn |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 877.00 Mn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | 2.65 Bn |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 504.10 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 801.19 Mn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | 306.75 Mn |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | 64.26 Mn |
| 10 | Evercore | 9.73 Bn | -119.28 Mn | - | 162.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 162.13 Mn |
| Mar 31, 2026 | 354.37 Mn |
| Dec 31, 2025 | 328.78 Mn |
| Sep 30, 2025 | 224.56 Mn |
| Jun 30, 2025 | 156.46 Mn |
| Mar 31, 2025 | 118.82 Mn |
| Dec 31, 2024 | 216.93 Mn |
| Sep 30, 2024 | 126.60 Mn |
| Jun 30, 2024 | 113.46 Mn |
| Mar 31, 2024 | 92.54 Mn |
| Dec 31, 2023 | 119.18 Mn |
| Sep 30, 2023 | 83.63 Mn |
| Jun 30, 2023 | 64.26 Mn |
| Mar 31, 2023 | 117.83 Mn |
| Dec 31, 2022 | 222.51 Mn |
| Sep 30, 2022 | 143.81 Mn |
| Jun 30, 2022 | 159.88 Mn |
| Mar 31, 2022 | 223.35 Mn |
| Dec 31, 2021 | 471.74 Mn |
| Sep 30, 2021 | 260.46 Mn |
Evercore EBITDA 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=ebitda&ticker=EVR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=EVR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();