Forward Industries (FWDI) Total Current Liabilities (2012 - 2025)
Forward Industries' Total Current Liabilities was $10.08 million in fiscal Q1 2026 (quarter ended Dec 31, 2025), up 14.8% from $8.79 million a year earlier and up 270.2% from the prior quarter.
Forward Industries (FWDI) Total Current Liabilities (2012 - 2025) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Total Current Liabilities at Forward Industries came in at $2.72 million, down 70.9% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of -21.0% (FY2020 to FY2025).
- In earlier fiscal years, Total Current Liabilities was $9.37 million in FY2024 (-13.5%), $10.84 million in FY2023 (+8.6%), $9.98 million in FY2022 (+38.4%) and $7.21 million in FY2021 (-18.3%).
- The fiscal Q1 2026 figure marks the highest quarterly Total Current Liabilities since fiscal Q3 2024.
- Compared with a year earlier, Total Current Liabilities was higher in two of the last eight quarters, with an average decline of 25.7%.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q2 2022 (growth of 114.4%); the worst was fiscal Q3 2025 (a decline of 79.2%).
- Per Business Quant data, FWDI's Total Current Liabilities in the three fiscal quarters before Q1 2026 was $2.72 million (Q4 2025), $2.35 million (Q3 2025) and $6.45 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | 5.59 Bn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 3.46 Bn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | 4.32 Bn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 8.30 Bn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 27.61 Bn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | 3.77 Bn |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 28.74 Bn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 7.50 Bn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 804.44 Mn |
| 10 | Forward Industries | 608.16 Mn | 608.16 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 10.08 Mn |
| Sep 30, 2025 | 2.72 Mn |
| Jun 30, 2025 | 2.35 Mn |
| Mar 31, 2025 | 6.45 Mn |
| Dec 31, 2024 | 8.79 Mn |
| Sep 30, 2024 | 9.37 Mn |
| Jun 30, 2024 | 11.30 Mn |
| Mar 31, 2024 | 10.80 Mn |
| Dec 31, 2023 | 11.31 Mn |
| Sep 30, 2023 | 10.84 Mn |
| Jun 30, 2023 | 10.59 Mn |
| Mar 31, 2023 | 10.91 Mn |
| Dec 31, 2022 | 11.47 Mn |
| Sep 30, 2022 | 9.98 Mn |
| Jun 30, 2022 | 11.30 Mn |
| Mar 31, 2022 | 11.04 Mn |
| Dec 31, 2021 | 10.59 Mn |
| Sep 30, 2021 | 7.21 Mn |
| Jun 30, 2021 | 6.13 Mn |
| Mar 31, 2021 | 5.15 Mn |
Forward Industries Total Current Liabilities 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=total-current-liabilities&ticker=FWDI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=FWDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();