Audiocodes (AUDC) EV to EBITDA (2009 - 2026)
Audiocodes' (AUDC) EV to EBITDA stood at 10.63 in the quarter ended Jun 30, 2026, down 3.8% from 11.05 a year earlier but up 18.6% from the prior quarter.
Audiocodes (AUDC) EV to EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Audiocodes' EV to EBITDA came in at -0.58 as of Jun 30, 2026; for the year ended Dec 31, 2025, it came in at 8.97, down 16.7% from the prior year.
- Across earlier years, EV to EBITDA came in at 10.77 in the year ended Dec 31, 2024 (-44.5%), 19.40 in the year ended Dec 31, 2023 (+38.6%), 14.00 in the year ended Dec 31, 2022 (-44.0%) and 25.00 in the year ended Dec 31, 2021 (+21.0%).
- Quarterly EV to EBITDA has ranged from 8.97 in the quarter ended Mar 31, 2026 to 24.96 in the quarter ended Dec 31, 2021 over the past five years.
- On a year-over-year basis, EV to EBITDA has declined for three consecutive quarters, with an average decline of 18.1% over the last eight quarters.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 41.9% in the quarter ended Dec 31, 2023, against a decline of 93.7% in the quarter ended Sep 30, 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 8.97 (quarter ended Mar 31, 2026), 8.97 (quarter ended Dec 31, 2025) and 11.23 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn |
| 10 | Audiocodes | 285.79 Mn | 12.66 Mn | 41.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.63 |
| Mar 31, 2026 | 8.97 |
| Dec 31, 2025 | 8.97 |
| Sep 30, 2025 | 11.23 |
| Jun 30, 2025 | 11.05 |
| Mar 31, 2025 | 9.75 |
| Dec 31, 2024 | 10.77 |
| Sep 30, 2024 | 10.49 |
| Jun 30, 2024 | 11.31 |
| Mar 31, 2024 | 16.75 |
| Dec 31, 2023 | 19.76 |
| Sep 30, 2023 | 15.84 |
| Jun 30, 2023 | 12.50 |
| Mar 31, 2023 | 17.44 |
| Dec 31, 2022 | 13.92 |
| Sep 30, 2022 | 19.24 |
| Jun 30, 2022 | 17.85 |
| Mar 31, 2022 | 19.72 |
| Dec 31, 2021 | 24.96 |
| Sep 30, 2021 | 21.89 |
Audiocodes EV to EBITDA 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=ev-to-ebitda&ticker=AUDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=AUDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();