Akamai Technologies (AKAM) EV to EBITDA (2009 - 2026)
Akamai Technologies' (AKAM) quarterly EV to EBITDA came in at 169.63 in Q2 2026, up 145.74% year-over-year from 69.03 in Q2 2025, and up 23.03% quarter-over-quarter from 137.88 in Q1 2026.
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Akamai Technologies (AKAM) EV to EBITDA (2009 - 2026) Analysis & Trends
Akamai Technologies has disclosed EV to EBITDA across 18 years of filings, most recently posting 169.63 for Q2 2026.
- In Q2 2026, EV to EBITDA rose 145.74% year-over-year to 169.63; the TTM figure through Jun 2026 stood at 29.89 (up 50.0% YoY), while the FY2025 annual figure was 20.18, down 15.61% from the prior year.
- EV to EBITDA came in at 169.63 for Q2 2026 at Akamai Technologies, up from 137.88 in the prior quarter.
- In the past five years, EV to EBITDA ranged from a high of 191.21 in Q3 2024 to a low of 58.87 in Q3 2025.
- Average EV to EBITDA over 5 years is 97.6, with a median of 86.06 recorded in 2023.
- Year-over-year, EV to EBITDA plunged 69.21% in 2025 and surged 145.74% in 2026.
- Over 5 years, EV to EBITDA stood at 72.17 in 2022, then grew by 27.72% to 92.18 in 2023, then decreased by 6.56% to 86.14 in 2024, then surged by 39.98% to 120.57 in 2025, then surged by 40.69% to 169.63 in 2026.
- Per Business Quant data, the three most recent EV to EBITDA figures were 169.63 in Q2 2026, 137.88 in Q1 2026, and 120.57 in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn |
| 10 | DigitalOcean Holdings | 14.67 Bn | 12.67 Bn | 154.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.50 |
| Mar 31, 2026 | 12.68 |
| Dec 31, 2025 | 8.97 |
| Sep 30, 2025 | 7.44 |
| Jun 30, 2025 | 8.66 |
| Mar 31, 2025 | 8.79 |
| Dec 31, 2024 | 10.79 |
| Sep 30, 2024 | 11.27 |
| Jun 30, 2024 | 9.36 |
| Mar 31, 2024 | 11.74 |
| Dec 31, 2023 | 14.10 |
| Sep 30, 2023 | 12.71 |
| Jun 30, 2023 | 10.90 |
| Mar 31, 2023 | 9.22 |
| Dec 31, 2022 | 9.52 |
| Sep 30, 2022 | 9.15 |
| Jun 30, 2022 | 10.48 |
| Mar 31, 2022 | 13.97 |
| Dec 31, 2021 | 13.28 |
| Sep 30, 2021 | 11.98 |
API Access
Akamai Technologies 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=AKAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "AKAM", "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=AKAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();