Foresight Autonomous Holdings (FRSX) Accumulated Expenses (2017 - 2025)
Foresight Autonomous Holdings (FRSX) recorded Accumulated Expenses of $277,000 in Q4 2025, up 264.5% from $76,000 a year earlier.
Analysis
Foresight Autonomous Holdings (FRSX) Accumulated Expenses (2017 - 2025) Analysis & Trends
Starting with Q4 2017, Foresight Autonomous Holdings' Accumulated Expenses history includes 9 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $76,000 in FY2024 (-53.4%), $163,000 in FY2023 (-45.5%), $299,000 in FY2022 (+24.1%) and $241,000 in FY2021 (-43.7%).
- The Q4 2025 figure is the highest quarterly Accumulated Expenses since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Foresight Autonomous Holdings | 1.22 Mn | -26.91 Mn | 62,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 277,000.00 |
| Dec 31, 2024 | 76,000.00 |
| Dec 31, 2023 | 163,000.00 |
| Dec 31, 2022 | 299,000.00 |
| Dec 31, 2021 | 241,000.00 |
| Dec 31, 2020 | 428,000.00 |
| Dec 31, 2019 | 208,000.00 |
| Dec 31, 2018 | 295,000.00 |
| Dec 31, 2017 | 283,000.00 |
API Access
Foresight Autonomous Holdings Accumulated 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=accumulated-expenses&ticker=FRSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "FRSX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=FRSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();