Fastly (FSLY) Price to Book (2019 - 2026)
Fastly's (FSLY) quarterly Price to Book came in at 2.95 in Q2 2026, up 167.05% year-over-year from 1.1 in Q2 2025, and down 36.62% quarter-over-quarter from 4.65 in Q1 2026.
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Analysis
Fastly (FSLY) Price to Book (2019 - 2026) Analysis & Trends
Fastly (FSLY) has reported Price to Book for 8 consecutive years, with 2.95 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Book rose 167.05% year-over-year to 2.95 in Q2 2026; TTM through Jun 2026 was 2.95, a 167.05% increase from a year earlier, with the FY2025 full-year figure at 1.66, up 19.38% from the prior year.
- Price to Book was 2.95 for Q2 2026 at Fastly, down from 4.65 in the prior quarter.
- Over five years, Price to Book peaked at 4.65 in Q1 2026 and troughed at 0.96 in Q1 2025.
- A 5-year average of 1.85 and a median of 1.54 in 2022 frame the typical range for Price to Book.
- Across the five-year window, Price to Book tumbled 78.89% in 2022 and jumped 385.65% in 2026, its largest moves.
- Over 5 years, Price to Book stood at 1.07 in 2022, then soared by 126.77% to 2.42 in 2023, then tumbled by 42.5% to 1.39 in 2024, then increased by 19.38% to 1.66 in 2025, then jumped by 77.69% to 2.95 in 2026.
- The last three Price to Book figures came in at 2.95 (Q2 2026), 4.65 (Q1 2026), and 1.66 (Q4 2025), per Business Quant data.
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 | Fastly | 3.97 Bn | 2.60 Bn | 115.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.95 |
| Mar 31, 2026 | 4.65 |
| Dec 31, 2025 | 1.66 |
| Sep 30, 2025 | 1.36 |
| Jun 30, 2025 | 1.10 |
| Mar 31, 2025 | 0.96 |
| Dec 31, 2024 | 1.39 |
| Sep 30, 2024 | 1.10 |
| Jun 30, 2024 | 1.04 |
| Mar 31, 2024 | 1.79 |
| Dec 31, 2023 | 2.42 |
| Sep 30, 2023 | 2.59 |
| Jun 30, 2023 | 2.06 |
| Mar 31, 2023 | 2.35 |
| Dec 31, 2022 | 1.07 |
| Sep 30, 2022 | 1.17 |
| Jun 30, 2022 | 1.43 |
| Mar 31, 2022 | 2.15 |
| Dec 31, 2021 | 4.15 |
| Sep 30, 2021 | 4.68 |
API Access
Fastly 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=FSLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "FSLY", "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=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();