Evercore (EVR) Non Operating Interest Expenses (2010 - 2026)
Evercore's Non Operating Interest Expenses was $8.3 million in Q2 2026, up 97.1% from $4.21 million a year earlier but down 6.7% from the prior quarter.
Evercore (EVR) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Evercore's Non Operating Interest Expenses was $33.05 million through Jun 30, 2026, up 96.8% year-over-year; for FY2025, it came in at $24.26 million, up 44.7% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In earlier years, Non Operating 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 Non Operating Interest Expenses has moved between $4.15 million (Q4 2022) and $8.89 million (Q1 2026) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has increased for 11 straight quarters, with growth averaging 48.6% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2026 (growth of 112.0%); the worst was Q4 2021 (a decline of 14.4%).
- Per Business Quant data, EVR's Non Operating Interest Expenses in the three quarters before Q2 2026 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) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.61 Bn | 94.70 Bn | - | 43.60 Mn |
| 2 | Robinhood Markets | 91.70 Bn | 72.73 Bn | - | - |
| 3 | Intercontinental Exchange | 88.95 Bn | 82.69 Bn | - | 205.00 Mn |
| 4 | Nasdaq | 54.22 Bn | 51.65 Bn | 1.50 Bn | 86.00 Mn |
| 5 | Interactive Brokers | 38.25 Bn | 15.37 Bn | - | - |
| 6 | Cboe Global Markets | 33.42 Bn | 25.08 Bn | 731.60 Mn | 13.20 Mn |
| 7 | LPL Financial Holdings | 25.64 Bn | 20.96 Bn | - | 101.50 Mn |
| 8 | Tradeweb Markets | 25.45 Bn | 17.47 Bn | - | 505,000.00 |
| 9 | Circle Internet | 22.26 Bn | 16.14 Bn | 288.85 Mn | - |
| 10 | Evercore | 9.74 Bn | -104.98 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 Non Operating 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=non-operating-interest-expenses&ticker=EVR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=EVR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();