Forward Industries (FWDI) EV to EBITDA (2013 - 2023)
Forward Industries' (FWDI) EV to EBITDA was 19.02 for fiscal Q1 2024 (quarter ended Dec 31, 2023), up 26.2% from 15.07 a year earlier and up 87.5% from the prior quarter.
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Analysis
Forward Industries (FWDI) EV to EBITDA (2013 - 2023) Analysis & Trends
Over the twelve months ended Dec 31, 2023, Forward Industries' EV to EBITDA came in at -16.21; for FY2023 (ended Sep 30, 2023), it came in at 10.14, down 15.7% from FY2022.
- By fiscal year, EV to EBITDA came in at 12.04 in FY2022.
- The fiscal Q1 2024 figure ranks as the highest quarterly EV to EBITDA since fiscal Q2 2022.
- Per Business Quant data, the three fiscal quarters before Q1 2024 came in at 10.14 (Q4 2023), 5.17 (Q3 2023) and 11.34 (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn |
| 10 | Forward Industries | 591.51 Mn | 591.51 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 19.02 |
| Sep 30, 2023 | 10.14 |
| Jun 30, 2023 | 5.17 |
| Mar 31, 2023 | 11.34 |
| Dec 31, 2022 | 15.07 |
| Sep 30, 2022 | 12.04 |
| Mar 31, 2022 | 37.34 |
| Jun 30, 2014 | 4.16 |
| Mar 31, 2014 | 11.52 |
| Dec 31, 2013 | 5.89 |
| Sep 30, 2013 | 9.57 |
API Access
Forward Industries EV to EBITDA 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=ev-to-ebitda&ticker=FWDI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=FWDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();