Fastly (FSLY) Amortizatization of Intangibles (2020 - 2026)
Fastly's Amortizatization of Intangibles was $2.3 million in Q2 2026, down 53.1% from $4.9 million a year earlier and unchanged from the prior quarter.
Fastly (FSLY) Amortizatization of Intangibles (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fastly's Amortizatization of Intangibles was $11.68 million through Jun 30, 2026, down 40.4% year-over-year; for FY2025, it was $16.82 million, down 14.2% from FY2024.
- Amortizatization of Intangibles has now declined for three consecutive years, though with a five-year compound annual growth rate of 26.0% (FY2020 to FY2025).
- In earlier years, Amortizatization of Intangibles was $19.6 million in FY2024 (-4.0%), $20.42 million in FY2023 (-5.9%), $21.7 million in FY2022 (+2.2%) and $21.24 million in FY2021 (+300.7%).
- Quarterly Amortizatization of Intangibles has moved between $2.28 million (Q4 2025) and $5.59 million (Q4 2022) over five years.
- Compared with a year earlier, Amortizatization of Intangibles has declined for four straight quarters, with an average decline of 20.9% over the last eight quarters.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was Q4 2022 (growth of 5.2%); the worst was Q4 2025 (a decline of 53.4%).
- Per Business Quant data, FSLY's Amortizatization of Intangibles in the three quarters before Q2 2026 was $2.3 million (Q1 2026), $2.28 million (Q4 2025) and $4.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | - |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 816.00 Mn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | - |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | - |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 5.90 Mn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | - |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | - |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | - |
| 10 | Fastly | 3.64 Bn | 2.27 Bn | 115.95 Mn | 2.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.30 Mn |
| Mar 31, 2026 | 2.30 Mn |
| Dec 31, 2025 | 2.28 Mn |
| Sep 30, 2025 | 4.80 Mn |
| Jun 30, 2025 | 4.90 Mn |
| Mar 31, 2025 | 4.90 Mn |
| Dec 31, 2024 | 4.90 Mn |
| Sep 30, 2024 | 4.90 Mn |
| Jun 30, 2024 | 4.90 Mn |
| Mar 31, 2024 | 4.90 Mn |
| Dec 31, 2023 | 4.90 Mn |
| Sep 30, 2023 | 5.20 Mn |
| Jun 30, 2023 | 5.20 Mn |
| Mar 31, 2023 | 5.20 Mn |
| Dec 31, 2022 | 5.59 Mn |
| Sep 30, 2022 | 5.50 Mn |
| Jun 30, 2022 | 5.30 Mn |
| Mar 31, 2022 | 5.31 Mn |
| Dec 31, 2021 | 5.31 Mn |
| Sep 30, 2021 | 5.30 Mn |
Fastly Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=FSLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();