Mountain Crest Acquisition Corp. V (MCAG) Operating Expenses (2022 - 2026)
Mountain Crest Acquisition Corp. V (MCAG) recorded Operating Expenses of $100,890 in Q2 2026, down 16.3% from $120,471 a year earlier and down 16.0% from the prior quarter.
Mountain Crest Acquisition Corp. V (MCAG) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, Mountain Crest Acquisition Corp. V's Operating Expenses came in at $381,022 as of Jun 30, 2026, down 45.7% year-over-year; for FY2025, it was $471,782, down 23.7% from FY2024.
- Annual Operating Expenses has a four-year compound annual growth rate of 32.8% (FY2021 to FY2025).
- Across earlier years, Operating Expenses came in at $618,486 in FY2024 (-76.7%), $2.65 million in FY2023 (+255.5%), $746,913 in FY2022 (+392.7%) and $151,598 in FY2021.
- Quarterly Operating Expenses has ranged from $76,525 in Q3 2025 to $1.99 million in Q3 2023 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for five consecutive quarters, with an average decline of 12.6% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 842.2% in Q3 2023, against a decline of 89.8% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $120,046 (Q1 2026), $83,561 (Q4 2025) and $76,525 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.46 Bn | 98.56 Bn | - | 599.10 Mn |
| 2 | Intercontinental Exchange | 91.62 Bn | 85.36 Bn | - | 1.28 Bn |
| 3 | Robinhood Markets | 88.67 Bn | 69.70 Bn | - | 734.00 Mn |
| 4 | Nasdaq | 57.55 Bn | 54.97 Bn | 1.50 Bn | 788.00 Mn |
| 5 | Interactive Brokers | 37.02 Bn | 14.14 Bn | - | 440.00 Mn |
| 6 | Cboe Global Markets | 34.23 Bn | 25.89 Bn | 731.60 Mn | 255.60 Mn |
| 7 | Tradeweb Markets | 25.86 Bn | 17.87 Bn | - | 313.68 Mn |
| 8 | LPL Financial Holdings | 25.46 Bn | 20.78 Bn | - | 4.67 Bn |
| 9 | Circle Internet | 21.50 Bn | 15.38 Bn | 288.85 Mn | 254.49 Mn |
| 10 | Mountain Crest Acquisition Corp. V | 38.13 Mn | 37.96 Mn | - | 100,890.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100,890.00 |
| Mar 31, 2026 | 120,046.00 |
| Dec 31, 2025 | 83,561.00 |
| Sep 30, 2025 | 76,525.00 |
| Jun 30, 2025 | 120,471.00 |
| Mar 31, 2025 | 191,225.00 |
| Dec 31, 2024 | 187,317.00 |
| Sep 30, 2024 | 202,182.00 |
| Jun 30, 2024 | 145,218.00 |
| Mar 31, 2024 | 83,769.00 |
| Dec 31, 2023 | 125,785.00 |
| Sep 30, 2023 | 1.99 Mn |
| Jun 30, 2023 | 322,349.00 |
| Mar 31, 2023 | 218,230.00 |
| Dec 31, 2022 | 283,210.00 |
| Sep 30, 2022 | 211,056.00 |
| Jun 30, 2022 | 123,819.00 |
| Mar 31, 2022 | 128,828.00 |
Mountain Crest Acquisition Corp. V 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=MCAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MCAG", "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=MCAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();