Fastly (FSLY) EV to CFO (2020 - 2026)
Fastly's (FSLY) EV to CFO stood at 21.61 in Q2 2026, up 60.1% from 13.50 a year earlier but down 45.6% from the prior quarter.
Fastly (FSLY) EV to CFO (2020 - 2026) Analysis & Trends
On a TTM basis, Fastly's EV to CFO came in at 12.95 as of Jun 30, 2026; for FY2025, it was 12.50, down 80.4% from FY2024.
- Across earlier years, EV to CFO came in at 63.73 in FY2024 (-98.9%) and 5648.29 in FY2023.
- Quarterly EV to CFO has ranged from 12.10 in Q3 2025 to 5648.29 in Q4 2023 over the past five years.
- On a year-over-year basis, EV to CFO rose in two of the last six quarters, with an average decline of 38.0%.
- Per Business Quant, the preceding three quarters came in at 39.75 (Q1 2026), 12.50 (Q4 2025) and 12.10 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,931.06 Bn | 3,854.21 Bn | 60.48 Bn |
| 2 | International Business Machines | 225.75 Bn | 176.56 Bn | 9.91 Bn |
| 3 | Cloudflare | 102.73 Bn | 86.26 Bn | 499.52 Mn |
| 4 | Equinix | 95.13 Bn | 83.69 Bn | 1.40 Bn |
| 5 | Nebius | 39.45 Bn | 12.88 Bn | 448.70 Mn |
| 6 | CoreWeave | 31.66 Bn | 18.75 Bn | 1.70 Bn |
| 7 | Verisign | 27.98 Bn | 25.19 Bn | 384.60 Mn |
| 8 | Nutanix | 18.05 Bn | 9.74 Bn | 651.35 Mn |
| 9 | GoDaddy | 14.27 Bn | 9.85 Bn | 828.20 Mn |
| 10 | Fastly | 3.45 Bn | 2.07 Bn | 115.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.61 |
| Mar 31, 2026 | 39.75 |
| Dec 31, 2025 | 12.50 |
| Sep 30, 2025 | 12.10 |
| Jun 30, 2025 | 13.50 |
| Mar 31, 2025 | 27.01 |
| Dec 31, 2024 | 63.73 |
| Sep 30, 2024 | 197.91 |
| Mar 31, 2024 | 70.85 |
| Dec 31, 2023 | 5,648.29 |
| Sep 30, 2020 | 1,045.60 |
Fastly EV to CFO 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-cfo&ticker=FSLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();