Superstar Platforms (SPST) Operating Expenses (2024 - 2026)
Superstar Platforms (SPST) recorded Operating Expenses of $141,877 in Q1 2026, up 41.7% from $100,090 a year earlier but down 39.9% from the prior quarter.
Superstar Platforms (SPST) Operating Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, Superstar Platforms' Operating Expenses came in at $582,998 as of Mar 31, 2026, up 129.5% year-over-year; for FY2025, it came in at $541,211, up 230.0% from FY2024.
- Across earlier years, Operating Expenses came in at $164,014 in FY2024.
- Quarterly Operating Expenses has ranged from $4,491 in Q1 2024 to $235,987 in Q4 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $235,987 (Q4 2025), $104,297 (Q3 2025) and $100,837 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 40.96 Bn | 29.78 Bn | - | 2.33 Bn |
| 2 | Orix | 36.82 Bn | 3.63 Bn | - | - |
| 3 | Royalty Pharma | 30.51 Bn | 27.88 Bn | - | 279.27 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.64 Bn | 26.64 Bn | - | 2.12 Bn |
| 5 | Royal Gold | 23.60 Bn | 22.77 Bn | 390.45 Mn | 173.18 Mn |
| 6 | Synchrony Financial | 23.18 Bn | -44.45 Bn | - | 1.37 Bn |
| 7 | Affirm Holdings | 23.17 Bn | 16.22 Bn | - | 1.08 Bn |
| 8 | Annaly Capital Management | 14.38 Bn | 5.33 Bn | - | 53.21 Mn |
| 9 | Ares Capital | 13.91 Bn | 11.66 Bn | - | 429.00 Mn |
| 10 | Superstar Platforms | 5.47 Mn | 5.47 Mn | - | 141,877.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 141,877.00 |
| Dec 31, 2025 | 235,987.00 |
| Sep 30, 2025 | 104,297.00 |
| Jun 30, 2025 | 100,837.00 |
| Mar 31, 2025 | 100,090.00 |
| Dec 31, 2024 | 144,408.00 |
| Sep 30, 2024 | 5,027.00 |
| Jun 30, 2024 | 10,088.00 |
| Mar 31, 2024 | 4,491.00 |
Superstar Platforms 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=SPST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SPST", "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=SPST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();