Arista Networks (ANET) Price to Book (2014 - 2026)
Arista Networks (ANET) posted Price to Book of 14.48 for Q2 2026, up 26.31% on a QoQ basis from 11.46 in Q1 2026, and up 22.75% year-over-year from 11.79 in Q2 2025.
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Analysis
Arista Networks (ANET) Price to Book (2014 - 2026) Analysis & Trends
Arista Networks has reported Price to Book for 13 years, with the latest figure at 14.48 in Q2 2026.
- On a quarterly basis, Price to Book rose 22.75% year-over-year to 14.48 in Q2 2026; TTM through Jun 2026 was 14.48, a 22.75% increase from a year earlier, with the FY2025 full-year figure at 13.31, down 4.58% from the prior year.
- Price to Book was 14.48 for Q2 2026 at Arista Networks, up from 11.46 in the prior quarter.
- The five-year high for Price to Book was 15.41 in Q3 2025, with the low at 7.12 in Q2 2022.
- Average Price to Book over 5 years is 10.99, with a median of 10.89 recorded in 2022.
- The largest YoY upside for Price to Book was 54.56% in 2022 against a maximum downside of 31.43% in 2022.
- Over 5 years, Price to Book stood at 7.62 in 2022, then soared by 33.64% to 10.19 in 2023, then soared by 36.92% to 13.95 in 2024, then dropped by 4.58% to 13.31 in 2025, then gained by 8.79% to 14.48 in 2026.
- The last three Price to Book figures came in at 14.48 (Q2 2026), 11.46 (Q1 2026), and 13.31 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,923.51 Bn | 4,861.11 Bn | 54.77 Bn |
| 2 | Cisco Systems | 419.97 Bn | 404.45 Bn | 11.06 Bn |
| 3 | Dell Technologies | 351.63 Bn | 340.06 Bn | 9.83 Bn |
| 4 | Sandisk | 265.22 Bn | 260.46 Bn | 7.58 Bn |
| 5 | Arista Networks | 256.62 Bn | 243.27 Bn | 1.91 Bn |
| 6 | Seagate Technology Holdings | 209.52 Bn | 207.82 Bn | 1.90 Bn |
| 7 | Western Digital | 171.00 Bn | 169.42 Bn | 2.03 Bn |
| 8 | Sony | 142.68 Bn | 123.26 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 83.02 Bn | 80.28 Bn | 477.30 Mn |
| 10 | Hewlett Packard Enterprise | 82.82 Bn | 76.61 Bn | 4.93 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.48 |
| Mar 31, 2026 | 11.46 |
| Dec 31, 2025 | 13.31 |
| Sep 30, 2025 | 15.41 |
| Jun 30, 2025 | 11.79 |
| Mar 31, 2025 | 9.62 |
| Dec 31, 2024 | 13.95 |
| Sep 30, 2024 | 13.07 |
| Jun 30, 2024 | 13.06 |
| Mar 31, 2024 | 11.57 |
| Dec 31, 2023 | 10.19 |
| Sep 30, 2023 | 8.79 |
| Jun 30, 2023 | 8.56 |
| Mar 31, 2023 | 9.71 |
| Dec 31, 2022 | 7.62 |
| Sep 30, 2022 | 7.86 |
| Jun 30, 2022 | 7.12 |
| Mar 31, 2022 | 10.31 |
| Dec 31, 2021 | 11.12 |
| Sep 30, 2021 | 6.84 |
API Access
Arista Networks 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=ANET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "ANET", "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=ANET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();