Intercontinental Exchange (ICE) EPS (Diluted) (2012 - 2026)
Intercontinental Exchange (ICE) recorded EPS (Diluted) of $1.66 in Q3 2026, up 16.8% from $1.42 a year earlier but down 1.9% from the prior quarter.
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Analysis
Intercontinental Exchange (ICE) EPS (Diluted) (2012 - 2026) Analysis & Trends
On a TTM basis, Intercontinental Exchange's EPS (Diluted) came in at $7.35 as of Sep 30, 2026, up 33.5% year-over-year; for FY2025, it came in at $5.77, up 20.6% from FY2024.
- Annual EPS (Diluted) has increased for three straight years, with a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- Across earlier years, EPS (Diluted) came in at $4.78 in FY2024 (+14.1%), $4.19 in FY2023 (+62.6%), $2.58 in FY2022 (-64.1%) and $7.18 in FY2021 (+90.8%).
- Quarterly EPS (Diluted) has ranged from -$0.34 in Q3 2022 to $2.70 in Q4 2021 over the past five years.
- On a year-over-year basis, EPS (Diluted) has increased for nine consecutive quarters, with growth averaging 34.9% over the last eight quarters.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 185.2% in Q4 2021, against a decline of 72.0% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.69 (Q2 2026), $2.48 (Q1 2026) and $1.48 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | 2.89 |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | 2.34 |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | 1.67 |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | 0.51 |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | 0.96 |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | 3.69 |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | 4.08 |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | 0.69 |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 3.42 |
| 10 | Tradeweb Markets | 26.89 Bn | 18.69 Bn | - | 0.94 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.66 |
| Jun 30, 2026 | 1.69 |
| Mar 31, 2026 | 2.48 |
| Dec 31, 2025 | 1.48 |
| Sep 30, 2025 | 1.42 |
| Jun 30, 2025 | 1.48 |
| Mar 31, 2025 | 1.38 |
| Dec 31, 2024 | 1.21 |
| Sep 30, 2024 | 1.14 |
| Jun 30, 2024 | 1.10 |
| Mar 31, 2024 | 1.33 |
| Dec 31, 2023 | 0.66 |
| Sep 30, 2023 | 0.96 |
| Jun 30, 2023 | 1.42 |
| Mar 31, 2023 | 1.17 |
| Dec 31, 2022 | 0.76 |
| Sep 30, 2022 | -0.34 |
| Jun 30, 2022 | 0.99 |
| Mar 31, 2022 | 1.16 |
| Dec 31, 2021 | 2.70 |
API Access
Intercontinental Exchange EPS (Diluted) 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=eps-diluted&ticker=ICE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "ICE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted&ticker=ICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();