Fastly (FSLY) Operating Leases (2020 - 2026)
Fastly's (FSLY) quarterly Operating Leases came in at $93.9 million in Q2 2026, up 25.36% year-over-year from $74.9 million in Q2 2025, and up 20.89% quarter-over-quarter from $77.6 million in Q1 2026.
Fastly (FSLY) Operating Leases (2020 - 2026) Analysis & Trends
Fastly (FSLY) has reported Operating Leases for 7 consecutive years, with $93.9 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Operating Leases rose 25.36% year-over-year to $93.9 million in Q2 2026; TTM through Jun 2026 was $93.9 million, a 25.36% increase from a year earlier, with the FY2025 full-year figure at $43.9 million, up 11.02% from the prior year.
- Operating Leases was $93.9 million for Q2 2026 at Fastly, up from $77.6 million in the prior quarter.
- Over five years, Operating Leases peaked at $93.9 million in Q2 2026 and troughed at $39.6 million in Q4 2024.
- A 5-year average of $69.7 million and a median of $71.9 million in 2024 frame the typical range for Operating Leases.
- Across the five-year window, Operating Leases declined 20.96% in 2023 and grew 25.36% in 2026, its largest moves.
- Over 5 years, Operating Leases stood at $61.3 million in 2022, then decreased by 20.96% to $48.5 million in 2023, then dropped by 18.4% to $39.6 million in 2024, then gained by 11.02% to $43.9 million in 2025, then jumped by 113.72% to $93.9 million in 2026.
- The last three Operating Leases figures came in at $93.9 million (Q2 2026), $77.6 million (Q1 2026), and $43.9 million (Q4 2025), per Business Quant data.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.23 Mn |
| Mar 31, 2026 | 46.02 Mn |
| Dec 31, 2025 | 43.92 Mn |
| Sep 30, 2025 | 47.11 Mn |
| Jun 30, 2025 | 48.58 Mn |
| Mar 31, 2025 | 36.62 Mn |
| Dec 31, 2024 | 39.56 Mn |
| Sep 30, 2024 | 40.57 Mn |
| Jun 30, 2024 | 44.63 Mn |
| Mar 31, 2024 | 46.86 Mn |
| Dec 31, 2023 | 48.48 Mn |
| Sep 30, 2023 | 47.78 Mn |
| Jun 30, 2023 | 51.45 Mn |
| Mar 31, 2023 | 56.28 Mn |
| Dec 31, 2022 | 61.34 Mn |
| Sep 30, 2022 | 62.75 Mn |
| Jun 30, 2022 | 60.66 Mn |
| Mar 31, 2022 | 52.33 Mn |
| Dec 31, 2021 | 55.11 Mn |
| Sep 30, 2021 | 54.07 Mn |
Fastly Operating Leases 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-leases&ticker=FSLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();