Forward Industries (FWDI) Accumulated Expenses (2010 - 2025)
Forward Industries' Accumulated Expenses came in at $3.44 million for fiscal Q1 2026 (quarter ended Dec 31, 2025), up 451.0% from the prior quarter.
Forward Industries (FWDI) Accumulated Expenses (2010 - 2025) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Forward Industries' Accumulated Expenses was $624,000, up 9.1% from FY2024.
- Going back by fiscal year, Accumulated Expenses was $572,000 in FY2024.
- The fiscal Q1 2026 figure represents the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2010.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 46.03 Bn | 46.09 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 27.52 Bn | 20.68 Bn | 1.83 Bn |
| 3 | Td Synnex | 21.68 Bn | 15.84 Bn | 1.43 Bn |
| 4 | Cdw | 17.02 Bn | 15.01 Bn | 1.32 Bn |
| 5 | Cgi | 15.79 Bn | 13.57 Bn | - |
| 6 | Arrow Electronics | 11.78 Bn | 10.81 Bn | 1.13 Bn |
| 7 | Avnet | 8.39 Bn | 7.57 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.54 Bn | 2.15 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.90 Bn | 1.54 Bn | 429.57 Mn |
| 10 | Forward Industries | 578.22 Mn | 578.22 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.44 Mn |
| Sep 30, 2025 | 624,000.00 |
| Jun 30, 2025 | 311,000.00 |
| Sep 30, 2024 | 572,000.00 |
| Dec 31, 2015 | 925,974.00 |
| Sep 30, 2015 | 1.04 Mn |
| Sep 30, 2014 | 551,911.00 |
| Jun 30, 2014 | 723,902.00 |
| Mar 31, 2014 | 829,120.00 |
| Dec 31, 2013 | 1.15 Mn |
| Sep 30, 2013 | 1.20 Mn |
| Jun 30, 2013 | 920,022.00 |
| Mar 31, 2013 | 617,625.00 |
| Dec 31, 2012 | 1.09 Mn |
| Sep 30, 2012 | 1.73 Mn |
| Jun 30, 2012 | 1.33 Mn |
| Mar 31, 2012 | 1.04 Mn |
| Dec 31, 2011 | 1.28 Mn |
| Sep 30, 2011 | 465,995.00 |
| Jun 30, 2011 | 587,028.00 |
Forward Industries 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=FWDI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "FWDI", "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=FWDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();