Widepoint (WYY) Long-Term Debt Repayments (2010 - 2025)
Widepoint (WYY) posted Long-Term Debt Repayments of $167,934 for Q4 2025, down 6.5% from $179,630 a year earlier but up 1.4% from the prior quarter.
Analysis
Widepoint (WYY) Long-Term Debt Repayments (2010 - 2025) Analysis & Trends
For FY2025, Widepoint's Long-Term Debt Repayments came in at $580,233, down 8.8% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- In prior years, Widepoint's Long-Term Debt Repayments was $636,455 in FY2024 (+8.5%), $586,525 in FY2023 (-2.3%), $600,438 in FY2022 (+5.0%) and $572,083 in FY2021 (-5.9%).
- Quarterly Long-Term Debt Repayments has run from a low of $119,766 in Q1 2025 to a high of $179,630 in Q4 2024 over five years.
- On a year-over-year basis, Long-Term Debt Repayments has declined in each of the last four quarters, with an average decline of 0.3% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q3 2023, with growth of 10.1%; the weakest was Q1 2023, with a decline of 14.8%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $165,697 (Q3 2025), $126,836 (Q2 2025) and $119,766 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (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 | - |
| 3 | Wipro | 22.89 Bn | 18.03 Bn | 745.00 Mn | -626.07 Mn |
| 4 | Cdw | 21.00 Bn | 18.98 Bn | 1.32 Bn | - |
| 5 | Td Synnex | 19.58 Bn | 13.74 Bn | 1.43 Bn | 700.23 Mn |
| 6 | Cgi | 18.28 Bn | 16.07 Bn | - | - |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.27 Bn | 6.45 Bn | 865.03 Mn | 140.50 Mn |
| 9 | EPAM Systems | 7.20 Bn | 2.84 Bn | 429.57 Mn | 180.03 Mn |
| 10 | Widepoint | 64.41 Mn | 35.77 Mn | 5.85 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 167,934.00 |
| Sep 30, 2025 | 165,697.00 |
| Jun 30, 2025 | 126,836.00 |
| Mar 31, 2025 | 119,766.00 |
| Dec 31, 2024 | 179,630.00 |
| Sep 30, 2024 | 178,251.00 |
| Jun 30, 2024 | 141,105.00 |
| Mar 31, 2024 | 137,469.00 |
| Dec 31, 2023 | 166,386.00 |
| Sep 30, 2023 | 164,703.00 |
| Jun 30, 2023 | 129,868.00 |
| Mar 31, 2023 | 125,568.00 |
| Dec 31, 2022 | 153,747.00 |
| Sep 30, 2022 | 149,559.00 |
| Jun 30, 2022 | 149,727.00 |
| Mar 31, 2022 | 147,405.00 |
| Dec 31, 2021 | 143,668.00 |
| Sep 30, 2021 | 142,660.00 |
| Jun 30, 2021 | 141,839.00 |
| Mar 31, 2021 | 143,916.00 |
API Access
Widepoint Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=WYY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=WYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();