Energous (WATT) Operating Expenses (2013 - 2026)
Energous (WATT) posted Operating Expenses of $3.29 million for Q2 2026, up 5.4% from $3.12 million a year earlier.
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Analysis
Energous (WATT) Operating Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Energous was $11.63 million, down 17.2% year-over-year; for FY2025, it was $12.04 million, down 34.6% from FY2024.
- Annual Operating Expenses has declined for four consecutive years, with a five-year compound annual growth rate of -17.9% (FY2020 to FY2025).
- In prior years, Energous' Operating Expenses was $18.42 million in FY2024 (-17.4%), $22.29 million in FY2023 (-19.0%), $27.54 million in FY2022 (-34.7%) and $42.19 million in FY2021 (+30.9%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q1 2025.
- On a year-over-year basis, Operating Expenses increased in 1 of the last seven quarters, with an average decline of 24.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 66.2%; the weakest was Q3 2022, with a decline of 50.0%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Energous | 70.41 Mn | 7.21 Mn | 94,000.00 | 3.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.29 Mn |
| Dec 31, 2025 | 2.57 Mn |
| Sep 30, 2025 | 2.65 Mn |
| Jun 30, 2025 | 3.12 Mn |
| Mar 31, 2025 | 3.70 Mn |
| Dec 31, 2024 | 3.72 Mn |
| Sep 30, 2024 | 3.51 Mn |
| Jun 30, 2024 | 4.58 Mn |
| Mar 31, 2024 | 6.62 Mn |
| Dec 31, 2023 | 4.41 Mn |
| Sep 30, 2023 | 5.25 Mn |
| Jun 30, 2023 | 6.25 Mn |
| Mar 31, 2023 | 6.39 Mn |
| Dec 31, 2022 | 6.54 Mn |
| Sep 30, 2022 | 6.33 Mn |
| Jun 30, 2022 | 7.30 Mn |
| Mar 31, 2022 | 7.37 Mn |
| Dec 31, 2021 | 9.65 Mn |
| Sep 30, 2021 | 12.67 Mn |
| Jun 30, 2021 | 11.20 Mn |
API Access
Energous 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=WATT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WATT", "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=WATT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();