State Street (STT) EBITDA (2009 - 2026)
State Street (STT) recorded EBITDA of $3.57 billion in Q2 2026, up 7.2% from $3.33 billion a year earlier and up 19.0% from the prior quarter.
Powered by 
Analysis
State Street (STT) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, State Street's EBITDA came in at $13.09 billion as of Jun 30, 2026, down 0.9% year-over-year; for FY2025, it was $12.97 billion, down 0.7% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 22.1% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $13.05 billion in FY2024 (+35.7%), $9.62 billion in FY2023 (+59.6%), $6.03 billion in FY2022 (+27.4%) and $4.73 billion in FY2021 (-1.1%).
- The Q2 2026 figure is the highest quarterly EBITDA in data going back to Q3 2010.
- On a year-over-year basis, EBITDA rose in five of the last eight quarters, with growth averaging 10.9%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 123.9% in Q2 2023, against a decline of 60.9% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $3 billion (Q1 2026), $3.06 billion (Q4 2025) and $3.46 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 1.22 Bn |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | 6.85 Bn |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn | 1.81 Bn |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - | 860.00 Mn |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn | 897.00 Mn |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - | 3.67 Bn |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn | 562.00 Mn |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - | 2.79 Bn |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - | 2.40 Bn |
| 10 | Tradeweb Markets | 30.81 Bn | 23.33 Bn | - | 315.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.67 Bn |
| Jun 30, 2026 | 3.57 Bn |
| Mar 31, 2026 | 3.00 Bn |
| Dec 31, 2025 | 3.06 Bn |
| Sep 30, 2025 | 3.46 Bn |
| Jun 30, 2025 | 3.33 Bn |
| Mar 31, 2025 | 3.12 Bn |
| Dec 31, 2024 | 3.34 Bn |
| Sep 30, 2024 | 3.43 Bn |
| Jun 30, 2024 | 3.34 Bn |
| Mar 31, 2024 | 2.95 Bn |
| Dec 31, 2023 | 2.31 Bn |
| Sep 30, 2023 | 2.44 Bn |
| Jun 30, 2023 | 2.69 Bn |
| Mar 31, 2023 | 2.18 Bn |
| Dec 31, 2022 | 2.28 Bn |
| Sep 30, 2022 | 1.49 Bn |
| Jun 30, 2022 | 1.20 Bn |
| Mar 31, 2022 | 1.06 Bn |
| Dec 31, 2021 | 1.09 Bn |
API Access
State Street 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=STT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "STT", "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=STT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();