Fastly (FSLY) EBT (2018 - 2026)
Fastly's (FSLY) quarterly EBT came in at -$15.3 million in Q2 2026, up 58.53% year-over-year from -$9.7 million in Q2 2025, and up 37.78% quarter-over-quarter from -$24.7 million in Q1 2026.
Fastly (FSLY) EBT (2018 - 2026) Analysis & Trends
Fastly (FSLY) has reported EBT for 9 consecutive years, with -$15.3 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, EBT rose 58.53% year-over-year to -$15.3 million in Q2 2026; TTM through Jun 2026 was -$83.7 million, a 42.15% increase from a year earlier, with the FY2025 full-year figure at -$119.2 million, up 23.33% from the prior year.
- EBT was -$15.3 million for Q2 2026 at Fastly, up from -$24.7 million in the prior quarter.
- Over five years, EBT peaked at -$10.6 million in Q2 2023 and troughed at -$64.2 million in Q1 2022.
- A 5-year average of -$35.5 million and a median of -$37.3 million in 2024 frame the typical range for EBT.
- Across the five-year window, EBT surged 72.15% in 2022 and plunged 306.53% in 2024, its largest moves.
- Over 5 years, EBT stood at -$46.9 million in 2022, then soared by 49.12% to -$23.9 million in 2023, then slumped by 33.1% to -$31.7 million in 2024, then soared by 53.3% to -$14.8 million in 2025, then dropped by 3.47% to -$15.3 million in 2026.
- The last three EBT figures came in at -$15.3 million (Q2 2026), -$24.7 million (Q1 2026), and -$14.8 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn | 44.05 Bn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn | 2.48 Bn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn | -167.94 Mn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn | 523.00 Mn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn | -176.70 Mn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn | -564.00 Mn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn | 281.60 Mn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn | 82.72 Mn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn | 100.03 Mn |
| 10 | Fastly | 3.97 Bn | 2.60 Bn | 115.95 Mn | -15.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -15.34 Mn |
| Mar 31, 2026 | -24.65 Mn |
| Dec 31, 2025 | -14.82 Mn |
| Sep 30, 2025 | -28.92 Mn |
| Jun 30, 2025 | -36.98 Mn |
| Mar 31, 2025 | -38.46 Mn |
| Dec 31, 2024 | -31.75 Mn |
| Sep 30, 2024 | -37.56 Mn |
| Jun 30, 2024 | -43.07 Mn |
| Mar 31, 2024 | -43.08 Mn |
| Dec 31, 2023 | -23.85 Mn |
| Sep 30, 2023 | -54.31 Mn |
| Jun 30, 2023 | -10.59 Mn |
| Mar 31, 2023 | -44.55 Mn |
| Dec 31, 2022 | -46.88 Mn |
| Sep 30, 2022 | -63.30 Mn |
| Jun 30, 2022 | -16.28 Mn |
| Mar 31, 2022 | -64.22 Mn |
| Dec 31, 2021 | -57.50 Mn |
| Sep 30, 2021 | -56.17 Mn |
Fastly EBT 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=ebt&ticker=FSLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();