Evercore (EVR) Cash & Equivalents (2010 - 2026)
Evercore (EVR) posted Cash & Equivalents of $1.26 billion for Q2 2026, up 103.6% from $617.3 million a year earlier and up 27.4% from the prior quarter.
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Analysis
Evercore (EVR) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Evercore's Cash & Equivalents came in at $1.43 billion, up 63.3% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- In prior years, Evercore's Cash & Equivalents was $873.05 million in FY2024 (+46.3%), $596.88 million in FY2023 (-10.0%), $663.4 million in FY2022 (+14.7%) and $578.32 million in FY2021 (-30.3%).
- Quarterly Cash & Equivalents has run from a low of $444.31 million in Q2 2022 to a high of $1.43 billion in Q4 2025 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last four quarters, with growth averaging 44.3% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2026, with growth of 103.6%; the weakest was Q3 2021, with a decline of 58.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $985.99 million (Q1 2026), $1.43 billion (Q4 2025) and $851.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.27 Bn | 97.61 Bn | - | 2.20 Bn |
| 2 | Bank of New York Mellon | 98.55 Bn | 37.92 Bn | - | - |
| 3 | Intercontinental Exchange | 91.26 Bn | 85.07 Bn | - | 1.07 Bn |
| 4 | Robinhood Markets | 85.47 Bn | 66.56 Bn | - | 5.36 Bn |
| 5 | Nasdaq | 57.27 Bn | 54.71 Bn | 1.48 Bn | 365.00 Mn |
| 6 | State Street | 46.11 Bn | 46.11 Bn | - | - |
| 7 | Interactive Brokers | 36.17 Bn | 29.63 Bn | - | 7.71 Bn |
| 8 | Cboe Global Markets | 35.59 Bn | 27.25 Bn | 731.60 Mn | 2.28 Bn |
| 9 | Northern Trust | 30.73 Bn | 30.73 Bn | - | - |
| 10 | Evercore | 9.73 Bn | 201.63 Mn | - | 1.26 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.26 Bn |
| Mar 31, 2026 | 985.99 Mn |
| Dec 31, 2025 | 1.43 Bn |
| Sep 30, 2025 | 851.91 Mn |
| Jun 30, 2025 | 617.30 Mn |
| Mar 31, 2025 | 552.95 Mn |
| Dec 31, 2024 | 873.05 Mn |
| Sep 30, 2024 | 533.11 Mn |
| Jun 30, 2024 | 631.62 Mn |
| Mar 31, 2024 | 569.78 Mn |
| Dec 31, 2023 | 596.88 Mn |
| Sep 30, 2023 | 492.59 Mn |
| Jun 30, 2023 | 520.63 Mn |
| Mar 31, 2023 | 579.19 Mn |
| Dec 31, 2022 | 663.40 Mn |
| Sep 30, 2022 | 473.07 Mn |
| Jun 30, 2022 | 444.31 Mn |
| Mar 31, 2022 | 454.77 Mn |
| Dec 31, 2021 | 578.32 Mn |
| Sep 30, 2021 | 478.82 Mn |
API Access
Evercore Cash & Equivalents 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=cash-and-equivalents&ticker=EVR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=EVR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();