Fastly (FSLY) Amortization of Deferred Charges (2019 - 2026)
Fastly's Amortization of Deferred Charges came in at $4.7 million for Q2 2026, down 2.1% from $4.8 million a year earlier and down 2.1% from the prior quarter.
Fastly (FSLY) Amortization of Deferred Charges (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Fastly reported Amortization of Deferred Charges of $19.2 million, down 0.1% year-over-year; for FY2025, it came in at $19.4 million, up 4.2% from FY2024.
- Amortization of Deferred Charges has increased in each of the last six years, with a five-year compound annual growth rate of 40.7% (FY2020 to FY2025).
- Going back by year, Amortization of Deferred Charges was $18.62 million in FY2024 (+19.8%), $15.55 million in FY2023 (+74.4%), $8.92 million in FY2022 (+41.5%) and $6.3 million in FY2021 (+79.2%).
- The Q2 2026 figure represents the lowest quarterly Amortization of Deferred Charges since Q2 2024.
- Year-over-year, Amortization of Deferred Charges increased in six of the last eight quarters, with growth averaging 5.1%.
- The fastest year-over-year change in Amortization of Deferred Charges over five years came in Q3 2023 (growth of 105.0%), and the weakest in Q2 2026 (a decline of 2.1%).
- Business Quant data shows FSLY's Amortization of Deferred Charges at $4.8 million (Q1 2026), $4.8 million (Q4 2025) and $4.9 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,870.06 Bn | 3,793.22 Bn | 60.48 Bn |
| 2 | International Business Machines | 237.60 Bn | 188.50 Bn | 9.91 Bn |
| 3 | Cloudflare | 97.89 Bn | 81.42 Bn | 499.52 Mn |
| 4 | Equinix | 94.00 Bn | 82.55 Bn | 1.40 Bn |
| 5 | Nebius | 40.27 Bn | 13.71 Bn | 448.70 Mn |
| 6 | CoreWeave | 30.64 Bn | 17.73 Bn | 1.70 Bn |
| 7 | Verisign | 27.35 Bn | 24.71 Bn | 393.20 Mn |
| 8 | Nutanix | 18.82 Bn | 10.50 Bn | 651.35 Mn |
| 9 | GoDaddy | 14.55 Bn | 10.13 Bn | 828.20 Mn |
| 10 | Fastly | 3.57 Bn | 2.20 Bn | 115.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.70 Mn |
| Mar 31, 2026 | 4.80 Mn |
| Dec 31, 2025 | 4.80 Mn |
| Sep 30, 2025 | 4.90 Mn |
| Jun 30, 2025 | 4.80 Mn |
| Mar 31, 2025 | 4.90 Mn |
| Dec 31, 2024 | 4.72 Mn |
| Sep 30, 2024 | 4.80 Mn |
| Jun 30, 2024 | 4.50 Mn |
| Mar 31, 2024 | 4.60 Mn |
| Dec 31, 2023 | 4.25 Mn |
| Sep 30, 2023 | 4.10 Mn |
| Jun 30, 2023 | 3.70 Mn |
| Mar 31, 2023 | 3.43 Mn |
| Dec 31, 2022 | 2.90 Mn |
| Sep 30, 2022 | 2.00 Mn |
| Jun 30, 2022 | 2.10 Mn |
| Mar 31, 2022 | 1.90 Mn |
| Dec 31, 2021 | 1.70 Mn |
| Sep 30, 2021 | 1.60 Mn |
Fastly Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=FSLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "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=amortization-of-deferred-charges&ticker=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();