Fastly (FSLY) EBITDA (2018 - 2026)
Fastly's (FSLY) quarterly EBITDA came in at -$14.4 million in Q2 2026, up 60.93% year-over-year from -$9.0 million in Q2 2025, and up 39.6% quarter-over-quarter from -$23.9 million in Q1 2026.
Fastly (FSLY) EBITDA (2018 - 2026) Analysis & Trends
Fastly (FSLY) has reported EBITDA for 9 consecutive years, with -$14.4 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, EBITDA rose 60.93% year-over-year to -$14.4 million in Q2 2026; TTM through Jun 2026 was -$82.2 million, a 45.21% increase from a year earlier, with the FY2025 full-year figure at -$119.0 million, up 29.13% from the prior year.
- EBITDA was -$14.4 million for Q2 2026 at Fastly, up from -$23.9 million in the prior quarter.
- Over five years, EBITDA peaked at -$14.4 million in Q2 2026 and troughed at -$69.0 million in Q2 2022.
- A 5-year average of -$42.7 million and a median of -$44.4 million in 2023 frame the typical range for EBITDA.
- Across the five-year window, EBITDA slipped 26.1% in 2022 and surged 60.93% in 2026, its largest moves.
- Over 5 years, EBITDA stood at -$48.5 million in 2022, then climbed by 12.13% to -$42.6 million in 2023, then advanced by 19.38% to -$34.3 million in 2024, then soared by 56.05% to -$15.1 million in 2025, then advanced by 4.35% to -$14.4 million in 2026.
- The last three EBITDA figures came in at -$14.4 million (Q2 2026), -$23.9 million (Q1 2026), and -$15.1 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn | 51.63 Bn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn | 3.96 Bn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn | -107.83 Mn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn | 1.22 Bn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn | 83.80 Mn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn | 1.34 Bn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn | 302.90 Mn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn | 87.05 Mn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn | 265.82 Mn |
| 10 | Fastly | 3.97 Bn | 2.60 Bn | 115.95 Mn | 5.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.27 Mn |
| Mar 31, 2026 | -4.90 Mn |
| Dec 31, 2025 | 7.23 Mn |
| Sep 30, 2025 | -3.49 Mn |
| Jun 30, 2025 | -12.24 Mn |
| Mar 31, 2025 | -13.18 Mn |
| Dec 31, 2024 | -10.97 Mn |
| Sep 30, 2024 | -17.19 Mn |
| Jun 30, 2024 | -24.03 Mn |
| Mar 31, 2024 | -23.46 Mn |
| Dec 31, 2023 | -19.85 Mn |
| Sep 30, 2023 | -35.94 Mn |
| Jun 30, 2023 | -28.03 Mn |
| Mar 31, 2023 | -26.61 Mn |
| Dec 31, 2022 | -28.61 Mn |
| Sep 30, 2022 | -47.57 Mn |
| Jun 30, 2022 | -50.87 Mn |
| Mar 31, 2022 | -45.90 Mn |
| Dec 31, 2021 | -41.56 Mn |
| Sep 30, 2021 | -40.63 Mn |
Fastly EBITDA 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=ebitda&ticker=FSLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();