Widepoint (WYY) Debt Ratio (2010 - 2023)
Widepoint's (WYY) Debt Ratio was 0.00 for Q1 2023, down 98.1% from 0.01 a year earlier but up 1.3% from the prior quarter.
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Analysis
Widepoint (WYY) Debt Ratio (2010 - 2023) Analysis & Trends
Dating back to Q4 2010, Widepoint's Debt Ratio record includes 42 quarters.
- By year, Debt Ratio came in at 0.00 in FY2021, 0.01 in FY2019 (+36.7%) and 0.01 in FY2018 (-22.2%).
- Five-year quarterly Debt Ratio spans a low of 0.00 in Q4 2022 and a high of 0.01 in Q2 2018.
- The high point for year-over-year Debt Ratio in five years was Q2 2018 (growth of 885.7%); the low point was Q1 2023 (a decline of 98.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 54.39 Bn | 40.89 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 34.33 Bn | 27.49 Bn | 1.83 Bn | 0.07 |
| 3 | Wipro | 22.89 Bn | 18.03 Bn | 745.00 Mn | 0.14 |
| 4 | Cdw | 21.00 Bn | 18.98 Bn | 1.32 Bn | 0.34 |
| 5 | Td Synnex | 19.58 Bn | 13.74 Bn | 1.43 Bn | 0.13 |
| 6 | Cgi | 18.28 Bn | 16.07 Bn | - | 0.74 |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn | 0.06 |
| 8 | Avnet | 7.27 Bn | 6.45 Bn | 865.03 Mn | 0.21 |
| 9 | EPAM Systems | 7.20 Bn | 2.84 Bn | 429.57 Mn | 0.01 |
| 10 | Widepoint | 64.41 Mn | 35.77 Mn | 5.85 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 0.00 |
| Dec 31, 2022 | 0.00 |
| Mar 31, 2022 | 0.01 |
| Dec 31, 2021 | 0.00 |
| Jun 30, 2020 | 0.00 |
| Mar 31, 2020 | 0.01 |
| Dec 31, 2019 | 0.01 |
| Sep 30, 2019 | 0.00 |
| Jun 30, 2019 | 0.00 |
| Mar 31, 2019 | 0.00 |
| Dec 31, 2018 | 0.01 |
| Sep 30, 2018 | 0.01 |
| Jun 30, 2018 | 0.01 |
| Mar 31, 2018 | 0.01 |
| Dec 31, 2017 | 0.01 |
| Sep 30, 2017 | 0.01 |
| Jun 30, 2017 | 0.00 |
| Mar 31, 2017 | 0.00 |
| Dec 31, 2016 | 0.01 |
| Sep 30, 2016 | 0.02 |
API Access
Widepoint Debt Ratio 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=debt-ratio&ticker=WYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "WYY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=debt-ratio&ticker=WYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();