Akamai Technologies (AKAM) Price to Book (2009 - 2026)
Akamai Technologies' (AKAM) quarterly Price to Book came in at 3.57 in Q2 2026, up 39.82% year-over-year from 2.56 in Q2 2025, and up 4.97% quarter-over-quarter from 3.41 in Q1 2026.
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Analysis
Akamai Technologies (AKAM) Price to Book (2009 - 2026) Analysis & Trends
Akamai Technologies has disclosed Price to Book across 18 years of filings, most recently posting 3.57 for Q2 2026.
- In Q2 2026, Price to Book rose 39.82% year-over-year to 3.57; the TTM figure through Jun 2026 stood at 3.57 (up 39.82% YoY), while the FY2025 annual figure was 2.54, down 13.76% from the prior year.
- Price to Book came in at 3.57 for Q2 2026 at Akamai Technologies, up from 3.41 in the prior quarter.
- In the past five years, Price to Book ranged from a high of 4.44 in Q1 2022 to a low of 2.3 in Q3 2025.
- Average Price to Book over 5 years is 3.17, with a median of 3.1 recorded in 2022.
- Year-over-year, Price to Book tumbled 35.45% in 2023 and soared 39.82% in 2026.
- Over 5 years, Price to Book stood at 3.03 in 2022, then grew by 28.68% to 3.89 in 2023, then slipped by 24.45% to 2.94 in 2024, then decreased by 13.76% to 2.54 in 2025, then surged by 40.92% to 3.57 in 2026.
- Per Business Quant data, the three most recent Price to Book figures were 3.57 in Q2 2026, 3.41 in Q1 2026, and 2.54 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 | 3.57 |
| Mar 31, 2026 | 3.41 |
| Dec 31, 2025 | 2.54 |
| Sep 30, 2025 | 2.30 |
| Jun 30, 2025 | 2.56 |
| Mar 31, 2025 | 2.57 |
| Dec 31, 2024 | 2.94 |
| Sep 30, 2024 | 3.17 |
| Jun 30, 2024 | 2.88 |
| Mar 31, 2024 | 3.58 |
| Dec 31, 2023 | 3.89 |
| Sep 30, 2023 | 3.72 |
| Jun 30, 2023 | 3.18 |
| Mar 31, 2023 | 2.87 |
| Dec 31, 2022 | 3.03 |
| Sep 30, 2022 | 2.96 |
| Jun 30, 2022 | 3.38 |
| Mar 31, 2022 | 4.44 |
| Dec 31, 2021 | 4.15 |
| Sep 30, 2021 | 3.71 |
API Access
Akamai Technologies Price to Book 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=price-to-book&ticker=AKAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=AKAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();