Robinhood Markets (HOOD) Operating Expenses (2020 - 2026)
Robinhood Markets (HOOD) posted Operating Expenses of $734 million for Q2 2026, up 33.5% from $550 million a year earlier and up 11.9% from the prior quarter.
Robinhood Markets (HOOD) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Robinhood Markets was $2.66 billion, up 29.8% year-over-year; for FY2025, it came in at $2.38 billion, up 25.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 20.3% (FY2020 to FY2025).
- In prior years, Robinhood Markets' Operating Expenses was $1.9 billion in FY2024 (-21.0%), $2.4 billion in FY2023 (+1.4%), $2.37 billion in FY2022 (-31.5%) and $3.46 billion in FY2021 (+265.7%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q1 2023.
- On a year-over-year basis, Operating Expenses has increased in each of the last seven quarters, with growth averaging 18.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 509.0%; the weakest was Q3 2022, with a decline of 68.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $656 million (Q1 2026), $633 million (Q4 2025) and $639 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 734.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 3.44 Bn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 599.10 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 1.28 Bn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 788.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 2.66 Bn |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 440.00 Mn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 1.64 Bn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 255.60 Mn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 4.67 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 734.00 Mn |
| Mar 31, 2026 | 656.00 Mn |
| Dec 31, 2025 | 633.00 Mn |
| Sep 30, 2025 | 639.00 Mn |
| Jun 30, 2025 | 550.00 Mn |
| Mar 31, 2025 | 557.00 Mn |
| Dec 31, 2024 | 458.00 Mn |
| Sep 30, 2024 | 486.00 Mn |
| Jun 30, 2024 | 493.00 Mn |
| Mar 31, 2024 | 460.00 Mn |
| Dec 31, 2023 | 445.00 Mn |
| Sep 30, 2023 | 540.00 Mn |
| Jun 30, 2023 | 466.00 Mn |
| Mar 31, 2023 | 950.00 Mn |
| Dec 31, 2022 | 534.00 Mn |
| Sep 30, 2022 | 535.00 Mn |
| Jun 30, 2022 | 610.00 Mn |
| Mar 31, 2022 | 690.00 Mn |
| Dec 31, 2021 | 783.00 Mn |
| Sep 30, 2021 | 1.71 Bn |
Robinhood Markets Operating 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=operating-expenses&ticker=HOOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HOOD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=HOOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();