TaoWeave (TWAV) Operating Expenses (2010 - 2026)
TaoWeave's Operating Expenses came in at $1.12 million for Q2 2026, up 22.4% from $911,000 a year earlier and up 8.4% from the prior quarter.
Powered by 
Analysis
TaoWeave (TWAV) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, TaoWeave reported Operating Expenses of $4.27 million, up 5.0% year-over-year; for FY2025, it came in at $3.98 million, down 12.3% from FY2024.
- Operating Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -26.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $4.53 million in FY2024 (-16.1%), $5.41 million in FY2023 (-77.0%), $23.53 million in FY2022 (+62.2%) and $14.51 million in FY2021 (-19.9%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q3 2024.
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with an average decline of 6.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2022 (growth of 188.0%), and the weakest in Q2 2023 (a decline of 87.2%).
- Business Quant data shows TWAV's Operating Expenses at $1.03 million (Q1 2026), $1.08 million (Q4 2025) and $1.05 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.04 Bn | -78.22 Bn | 1.60 Bn | 519.00 Mn |
| 2 | Cognizant Technology Solutions | 29.62 Bn | 23.58 Bn | 1.91 Bn | 892.00 Mn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 154.00 Mn |
| 4 | Cdw | 20.38 Bn | 17.28 Bn | 1.39 Bn | 895.80 Mn |
| 5 | Cgi | 18.34 Bn | 16.14 Bn | - | - |
| 6 | Td Synnex | 18.21 Bn | 12.36 Bn | 1.43 Bn | 784.64 Mn |
| 7 | Arrow Electronics | 9.83 Bn | 8.78 Bn | 1.13 Bn | 747.88 Mn |
| 8 | EPAM Systems | 8.01 Bn | 3.93 Bn | 445.94 Mn | 237.39 Mn |
| 9 | Avnet | 6.95 Bn | 6.13 Bn | 865.03 Mn | 634.01 Mn |
| 10 | TaoWeave | 5.25 Mn | -3.61 Mn | 274,000.00 | 1.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.12 Mn |
| Mar 31, 2026 | 1.03 Mn |
| Dec 31, 2025 | 1.08 Mn |
| Sep 30, 2025 | 1.05 Mn |
| Jun 30, 2025 | 911,000.00 |
| Mar 31, 2025 | 940,000.00 |
| Dec 31, 2024 | 1.06 Mn |
| Sep 30, 2024 | 1.15 Mn |
| Jun 30, 2024 | 1.14 Mn |
| Mar 31, 2024 | 1.18 Mn |
| Dec 31, 2023 | 1.57 Mn |
| Sep 30, 2023 | 1.15 Mn |
| Jun 30, 2023 | 1.21 Mn |
| Mar 31, 2023 | 1.48 Mn |
| Dec 31, 2022 | 1.57 Mn |
| Sep 30, 2022 | 7.50 Mn |
| Jun 30, 2022 | 9.44 Mn |
| Mar 31, 2022 | 5.02 Mn |
| Dec 31, 2021 | 3.51 Mn |
| Sep 30, 2021 | 3.68 Mn |
API Access
TaoWeave 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=TWAV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TWAV", "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=TWAV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();