FinTrade Sherpa (FTSP) Operating Expenses (2010 - 2025)
FinTrade Sherpa (FTSP) posted Operating Expenses of $1,787 for Q4 2025, down 87.7% from $14,492 a year earlier and down 98.5% from the prior quarter.
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Analysis
FinTrade Sherpa (FTSP) Operating Expenses (2010 - 2025) Analysis & Trends
For FY2025, FinTrade Sherpa's Operating Expenses came in at $123,973, up 980.1% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -19.0% (FY2020 to FY2025).
- In prior years, FinTrade Sherpa's Operating Expenses was $11,478 in FY2024 (-81.8%), $62,940 in FY2023 (-59.5%), $155,518 in FY2022 (-49.7%) and $309,324 in FY2021 (-13.0%).
- Quarterly Operating Expenses has run from a low of $102.00 in Q1 2025 to a high of $121,897 in Q3 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with growth averaging 76.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2025, with growth of 892.2%; the weakest was Q1 2025, with a decline of 98.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $121,897 (Q3 2025), $391.00 (Q2 2025) and $102.00 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | FinTrade Sherpa | 1.23 Mn | 1.22 Mn | - | 1,787.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1,787.00 |
| Sep 30, 2025 | 121,897.00 |
| Jun 30, 2025 | 391.00 |
| Mar 31, 2025 | 102.00 |
| Dec 31, 2024 | 14,492.00 |
| Sep 30, 2024 | 12,285.00 |
| Jun 30, 2024 | 13,693.00 |
| Mar 31, 2024 | 8,874.00 |
| Dec 31, 2023 | 22,493.00 |
| Sep 30, 2023 | 8,844.00 |
| Jun 30, 2023 | 25,448.00 |
| Mar 31, 2023 | 6,155.00 |
| Dec 31, 2022 | 12,120.00 |
| Sep 30, 2022 | 10,505.00 |
| Jun 30, 2022 | 99,546.00 |
| Mar 31, 2022 | 33,481.00 |
| Dec 31, 2021 | 45,858.00 |
| Sep 30, 2021 | 76,548.00 |
| Jun 30, 2021 | 82,788.00 |
| Mar 31, 2021 | 104,130.00 |
API Access
FinTrade Sherpa 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=FTSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FTSP", "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=FTSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();