Streamex (STEX) Operating Expenses (2013 - 2026)
Streamex (STEX) reported Operating Expenses of $15.31 million for Q2 2026, down 24.8% from $20.37 million a year earlier and down 57.2% from the prior quarter.
Streamex (STEX) Operating Expenses (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Streamex's Operating Expenses came in at $98.8 million, up 259.3% year-over-year; for FY2025, it was $71.09 million, up 451.0% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- By year, Operating Expenses came in at $12.9 million in FY2024 (-54.8%), $28.53 million in FY2023 (+3.8%), $27.49 million in FY2022 (-18.3%) and $33.65 million in FY2021 (-43.1%).
- Five-year quarterly Operating Expenses spans a low of $1.2 million in Q4 2024 and a high of $41.63 million in Q4 2025.
- Year over year, Operating Expenses gained in two of the last six quarters, with growth averaging 40.8%.
- The high point for year-over-year Operating Expenses in five years was Q2 2025 (growth of 283.9%); the low point was Q4 2024 (a decline of 80.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $35.75 million (Q1 2026), $41.63 million (Q4 2025) and $6.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 50.12 Bn | 8.35 Bn | - | 7.26 Bn |
| 2 | Block | 47.04 Bn | 18.34 Bn | 3.17 Bn | 2.72 Bn |
| 3 | Coinbase Global | 45.21 Bn | 2.01 Bn | - | 1.33 Bn |
| 4 | Corpay | 26.75 Bn | 16.64 Bn | - | 260.40 Mn |
| 5 | Fiserv | 25.69 Bn | 22.37 Bn | 2.90 Bn | 4.28 Bn |
| 6 | Global Payments | 23.03 Bn | 822.89 Mn | 2.03 Bn | 2.98 Bn |
| 7 | Guidewire Software | 15.22 Bn | 11.79 Bn | 269.68 Mn | 207.36 Mn |
| 8 | Bitmine Immersion Technologies | 12.63 Bn | 10.01 Bn | 40.81 Mn | 52.67 Mn |
| 9 | Chime Financial | 11.68 Bn | 7.48 Bn | 594.87 Mn | 573.55 Mn |
| 10 | Streamex | 68.44 Mn | 2.05 Mn | - | 15.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.31 Mn |
| Mar 31, 2026 | 35.75 Mn |
| Dec 31, 2025 | 41.63 Mn |
| Sep 30, 2025 | 6.11 Mn |
| Jun 30, 2025 | 20.37 Mn |
| Mar 31, 2025 | 2.98 Mn |
| Dec 31, 2024 | 1.20 Mn |
| Sep 30, 2024 | 2.95 Mn |
| Jun 30, 2024 | 5.31 Mn |
| Mar 31, 2024 | 3.45 Mn |
| Dec 31, 2023 | 6.18 Mn |
| Sep 30, 2023 | 4.05 Mn |
| Jun 30, 2023 | 10.91 Mn |
| Mar 31, 2023 | 7.39 Mn |
| Dec 31, 2022 | 7.11 Mn |
| Sep 30, 2022 | 6.59 Mn |
| Jun 30, 2022 | 5.72 Mn |
| Mar 31, 2022 | 8.07 Mn |
| Dec 31, 2021 | 9.01 Mn |
| Sep 30, 2021 | 7.87 Mn |
Streamex 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=STEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "STEX", "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=STEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();