Crisp Momentum (CRSF) Operating Expenses (2021 - 2026)
Crisp Momentum (CRSF) recorded Operating Expenses of $4.81 million in fiscal Q3 2026 (quarter ended Apr 30, 2026), compared with $79,877 a year earlier and down 20.7% from the prior quarter.
Crisp Momentum (CRSF) Operating Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, Crisp Momentum's Operating Expenses came in at $19.55 million as of Apr 30, 2026; for FY2025 (ended Jul 31, 2025), it came in at $7.99 million, up 982.3% from FY2024.
- Annual Operating Expenses has a four-year compound annual growth rate of 372.4% (FY2021 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $738,580 in FY2024 (-71.6%), $2.6 million in FY2023 (+4.2%), $2.49 million in FY2022 and $16,045 in FY2021.
- Quarterly Operating Expenses has ranged from -$1.53 million in fiscal Q3 2022 to $7.63 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in two of the last four quarters, with an average decline of 5.7%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 101.0% in fiscal Q2 2025, against a decline of 95.4% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $6.06 million (Q2 2026), $1.05 million (Q1 2026) and $7.63 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Crisp Momentum | 40.99 Mn | 38.30 Mn | 175.00 | 4.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 4.81 Mn |
| Jan 31, 2026 | 6.06 Mn |
| Oct 31, 2025 | 1.05 Mn |
| Jul 31, 2025 | 7.63 Mn |
| Apr 30, 2025 | 79,877.00 |
| Jan 31, 2025 | 259,253.00 |
| Oct 31, 2024 | 21,714.00 |
| Jul 31, 2024 | 85,518.00 |
| Apr 30, 2024 | 50,927.00 |
| Jan 31, 2024 | 128,972.00 |
| Oct 31, 2023 | 473,163.00 |
| Jul 31, 2023 | 572,586.00 |
| Apr 30, 2023 | 687,859.00 |
| Jan 31, 2023 | 767,046.00 |
| Oct 31, 2022 | 570,846.00 |
| Jul 31, 2022 | 883,450.00 |
| Apr 30, 2022 | -1.53 Mn |
| Jan 31, 2022 | 576,795.00 |
| Oct 31, 2021 | 2.56 Mn |
Crisp Momentum 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=CRSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CRSF", "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=CRSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();