Fastly (FSLY) Tax Provisions (2018 - 2026)
Fastly's (FSLY) quarterly Tax Provisions came in at $300000.0 in Q2 2026, down 50.0% year-over-year from $600000.0 in Q2 2025, and up 107.26% quarter-over-quarter from -$4.1 million in Q1 2026.
Fastly (FSLY) Tax Provisions (2018 - 2026) Analysis & Trends
Fastly (FSLY) has reported Tax Provisions for 9 consecutive years, with $300000.0 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Tax Provisions fell 50.0% year-over-year to $300000.0 in Q2 2026; TTM through Jun 2026 was -$2.5 million, a 187.36% decrease from a year earlier, with the FY2025 full-year figure at $2.5 million, down 3.99% from the prior year.
- Tax Provisions was $300000.0 for Q2 2026 at Fastly, up from -$4.1 million in the prior quarter.
- Over five years, Tax Provisions peaked at $1.1 million in Q4 2024 and troughed at -$4.1 million in Q1 2026.
- A 5-year average of $74111.1 and a median of $250000.0 in 2022 frame the typical range for Tax Provisions.
- Across the five-year window, Tax Provisions jumped 50100.0% in 2024 and plunged 690.0% in 2026, its largest moves.
- Over 5 years, Tax Provisions stood at -$217000.0 in 2022, then slumped by 114.29% to -$465000.0 in 2023, then soared by 337.42% to $1.1 million in 2024, then sank by 37.23% to $693000.0 in 2025, then sank by 56.71% to $300000.0 in 2026.
- The last three Tax Provisions figures came in at $300000.0 (Q2 2026), -$4.1 million (Q1 2026), and $693000.0 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn | 8.28 Bn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn | 313.00 Mn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn | 2.04 Mn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn | 46.00 Mn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn | 13.70 Mn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn | 62.00 Mn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn | 65.10 Mn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn | -1.19 Bn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn | 20.62 Mn |
| 10 | Fastly | 3.97 Bn | 2.60 Bn | 115.95 Mn | 300,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 300,000.00 |
| Mar 31, 2026 | -4.13 Mn |
| Dec 31, 2025 | 693,000.00 |
| Sep 30, 2025 | 600,000.00 |
| Jun 30, 2025 | 600,000.00 |
| Mar 31, 2025 | 700,000.00 |
| Dec 31, 2024 | 1.10 Mn |
| Sep 30, 2024 | 500,000.00 |
| Jun 30, 2024 | 700,000.00 |
| Mar 31, 2024 | 347,000.00 |
| Dec 31, 2023 | -465,000.00 |
| Sep 30, 2023 | -1,000.00 |
| Jun 30, 2023 | 110,000.00 |
| Mar 31, 2023 | 135,000.00 |
| Dec 31, 2022 | -217,000.00 |
| Sep 30, 2022 | 118,000.00 |
| Jun 30, 2022 | 200,000.00 |
| Mar 31, 2022 | 40,000.00 |
| Dec 31, 2021 | 56,000.00 |
| Sep 30, 2021 | 30,000.00 |
Fastly Tax Provisions 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=tax-provisions&ticker=FSLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();