Evercore (EVR) Interest Expenses (2010 - 2026)
Evercore (EVR) posted Interest Expenses of $8.3 million for Q2 2026, up 97.1% from $4.21 million a year earlier but down 6.7% from the prior quarter.
Evercore (EVR) Interest Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Evercore was $33.05 million, up 96.8% year-over-year; for FY2025, it was $24.26 million, up 44.7% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In prior years, Evercore's Interest Expenses was $16.77 million in FY2024 (+0.3%), $16.72 million in FY2023 (-0.8%), $16.85 million in FY2022 (-4.2%) and $17.59 million in FY2021 (-17.9%).
- Quarterly Interest Expenses has run from a low of $4.15 million in Q4 2022 to a high of $8.89 million in Q1 2026 over five years.
- On a year-over-year basis, Interest Expenses has increased in each of the last 11 quarters, with growth averaging 48.6% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q1 2026, with growth of 112.0%; the weakest was Q4 2021, with a decline of 14.4%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $8.89 million (Q1 2026), $8.75 million (Q4 2025) and $7.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | 43.60 Mn |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | 205.00 Mn |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | 159.00 Mn |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 86.00 Mn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | 1.18 Bn |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 13.20 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 101.50 Mn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | 505,000.00 |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | - |
| 10 | Evercore | 9.73 Bn | -119.28 Mn | - | 8.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.30 Mn |
| Mar 31, 2026 | 8.89 Mn |
| Dec 31, 2025 | 8.75 Mn |
| Sep 30, 2025 | 7.11 Mn |
| Jun 30, 2025 | 4.21 Mn |
| Mar 31, 2025 | 4.19 Mn |
| Dec 31, 2024 | 4.19 Mn |
| Sep 30, 2024 | 4.20 Mn |
| Jun 30, 2024 | 4.19 Mn |
| Mar 31, 2024 | 4.19 Mn |
| Dec 31, 2023 | 4.18 Mn |
| Sep 30, 2023 | 4.18 Mn |
| Jun 30, 2023 | 4.18 Mn |
| Mar 31, 2023 | 4.17 Mn |
| Dec 31, 2022 | 4.15 Mn |
| Sep 30, 2022 | 4.19 Mn |
| Jun 30, 2022 | 4.26 Mn |
| Mar 31, 2022 | 4.25 Mn |
| Dec 31, 2021 | 4.32 Mn |
| Sep 30, 2021 | 4.39 Mn |
Evercore Interest Expenses 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=interest-expenses&ticker=EVR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=EVR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();