Fastly (FSLY) Operating Expenses (2018 - 2026)
Fastly's (FSLY) quarterly Operating Expenses came in at $130.4 million in Q2 2026, up 10.44% year-over-year from $118.1 million in Q2 2025, and down 1.28% quarter-over-quarter from $132.1 million in Q1 2026.
Fastly (FSLY) Operating Expenses (2018 - 2026) Analysis & Trends
Fastly (FSLY) has reported Operating Expenses for 9 consecutive years, with $130.4 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Operating Expenses rose 10.44% year-over-year to $130.4 million in Q2 2026; TTM through Jun 2026 was $504.6 million, a 10.24% increase from a year earlier, with the FY2025 full-year figure at $475.2 million, up 2.45% from the prior year.
- Operating Expenses was $130.4 million for Q2 2026 at Fastly, down from $132.1 million in the prior quarter.
- Over five years, Operating Expenses peaked at $132.1 million in Q1 2026 and troughed at $107.5 million in Q1 2023.
- A 5-year average of $117.9 million and a median of $118.2 million in 2023 frame the typical range for Operating Expenses.
- Across the five-year window, Operating Expenses advanced 17.94% in 2022 and decreased 7.57% in 2024, its largest moves.
- Over 5 years, Operating Expenses stood at $111.0 million in 2022, then increased by 6.59% to $118.4 million in 2023, then fell by 7.57% to $109.4 million in 2024, then advanced by 10.66% to $121.0 million in 2025, then climbed by 7.71% to $130.4 million in 2026.
- The last three Operating Expenses figures came in at $130.4 million (Q2 2026), $132.1 million (Q1 2026), and $121.0 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn | 12.28 Bn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn | 7.29 Bn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn | 705.21 Mn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn | 1.96 Bn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn | 758.20 Mn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn | 2.62 Bn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn | 138.30 Mn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn | 581.36 Mn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn | 1.02 Bn |
| 10 | Fastly | 3.97 Bn | 2.60 Bn | 115.95 Mn | 130.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 130.38 Mn |
| Mar 31, 2026 | 132.08 Mn |
| Dec 31, 2025 | 121.05 Mn |
| Sep 30, 2025 | 121.12 Mn |
| Jun 30, 2025 | 118.06 Mn |
| Mar 31, 2025 | 114.98 Mn |
| Dec 31, 2024 | 109.39 Mn |
| Sep 30, 2024 | 115.33 Mn |
| Jun 30, 2024 | 119.64 Mn |
| Mar 31, 2024 | 119.49 Mn |
| Dec 31, 2023 | 118.36 Mn |
| Sep 30, 2023 | 124.43 Mn |
| Jun 30, 2023 | 114.04 Mn |
| Mar 31, 2023 | 107.53 Mn |
| Dec 31, 2022 | 111.05 Mn |
| Sep 30, 2022 | 118.44 Mn |
| Jun 30, 2022 | 115.02 Mn |
| Mar 31, 2022 | 111.47 Mn |
| Dec 31, 2021 | 106.43 Mn |
| Sep 30, 2021 | 100.43 Mn |
Fastly Operating Expenses 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=operating-expenses&ticker=FSLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();