Audiocodes (AUDC) Operating Expenses (2009 - 2026)
Analysis
Audiocodes (AUDC) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 19.19 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 683.30 Mn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 4.45 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 17.49 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 598.00 Mn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 2.17 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 488.00 Mn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Audiocodes | 224.42 Mn | -19.49 Mn | 42.13 Mn | 38.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 38.76 Mn |
| Jun 30, 2026 | 38.16 Mn |
| Mar 31, 2026 | 37.76 Mn |
| Dec 31, 2025 | 37.36 Mn |
| Sep 30, 2025 | 36.22 Mn |
| Jun 30, 2025 | 36.52 Mn |
| Mar 31, 2025 | 35.49 Mn |
| Dec 31, 2024 | 36.62 Mn |
| Sep 30, 2024 | 34.43 Mn |
| Jun 30, 2024 | 34.54 Mn |
| Mar 31, 2024 | 35.39 Mn |
| Dec 31, 2023 | 35.16 Mn |
| Sep 30, 2023 | 35.16 Mn |
| Jun 30, 2023 | 36.22 Mn |
| Mar 31, 2023 | 37.39 Mn |
| Dec 31, 2022 | 37.82 Mn |
| Sep 30, 2022 | 36.74 Mn |
| Jun 30, 2022 | 36.59 Mn |
| Mar 31, 2022 | 36.31 Mn |
| Dec 31, 2021 | 35.17 Mn |
API Access
Audiocodes 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=AUDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AUDC", "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=AUDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();