Widepoint (WYY) Operating Expenses (2010 - 2026)
Widepoint (WYY) reported Operating Expenses of $5.84 million for Q2 2026, up 0.2% from $5.83 million a year earlier.
Powered by 
Analysis
Widepoint (WYY) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Widepoint's Operating Expenses came in at $24.03 million, up 11.1% year-over-year; for FY2025, it was $23.79 million, up 13.9% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- By year, Operating Expenses came in at $20.88 million in FY2024 (+7.9%), $19.35 million in FY2023 (-43.4%), $34.21 million in FY2022 (+117.1%) and $15.76 million in FY2021 (-8.5%).
- Five-year quarterly Operating Expenses spans a low of $2.85 million in Q3 2021 and a high of $20.93 million in Q2 2022.
- Year over year, Operating Expenses gained in six of the last seven quarters, with growth averaging 8.8%.
- The high point for year-over-year Operating Expenses in five years was Q2 2022 (growth of 416.2%); the low point was Q2 2023 (a decline of 77.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 528.00 Mn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 812.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 822.22 Mn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 12.44 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 747.88 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 634.01 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 722.71 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Widepoint | 79.26 Mn | 35.84 Mn | 5.85 Mn | 5.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.84 Mn |
| Dec 31, 2025 | 6.64 Mn |
| Sep 30, 2025 | 5.74 Mn |
| Jun 30, 2025 | 5.83 Mn |
| Mar 31, 2025 | 5.59 Mn |
| Dec 31, 2024 | 5.07 Mn |
| Sep 30, 2024 | 5.14 Mn |
| Jun 30, 2024 | 5.35 Mn |
| Mar 31, 2024 | 5.32 Mn |
| Dec 31, 2023 | 5.29 Mn |
| Sep 30, 2023 | 4.73 Mn |
| Jun 30, 2023 | 4.64 Mn |
| Mar 31, 2023 | 4.70 Mn |
| Dec 31, 2022 | 4.30 Mn |
| Sep 30, 2022 | 4.40 Mn |
| Jun 30, 2022 | 20.93 Mn |
| Mar 31, 2022 | 4.58 Mn |
| Dec 31, 2021 | 4.81 Mn |
| Sep 30, 2021 | 2.85 Mn |
| Jun 30, 2021 | 4.05 Mn |
API Access
Widepoint Operating 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=operating-expenses&ticker=WYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=WYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();