Fastly (FSLY) Other Accumulated Expenses (2018 - 2026)
Fastly's (FSLY) quarterly Other Accumulated Expenses came in at $5.1 million in Q2 2026, down 87.97% year-over-year from $42.4 million in Q2 2025, and down 54.68% quarter-over-quarter from $11.2 million in Q1 2026.
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Fastly (FSLY) Other Accumulated Expenses (2018 - 2026) Analysis & Trends
Fastly (FSLY) has reported Other Accumulated Expenses for 9 consecutive years, with $5.1 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Other Accumulated Expenses fell 87.97% year-over-year to $5.1 million in Q2 2026; TTM through Jun 2026 was $5.1 million, a 87.97% decrease from a year earlier, with the FY2025 full-year figure at $7.5 million, up 168.2% from the prior year.
- Other Accumulated Expenses was $5.1 million for Q2 2026 at Fastly, down from $11.2 million in the prior quarter.
- Over five years, Other Accumulated Expenses peaked at $45.8 million in Q3 2025 and troughed at $2.8 million in Q4 2024.
- A 5-year average of $30.8 million and a median of $35.1 million in 2022 frame the typical range for Other Accumulated Expenses.
- Across the five-year window, Other Accumulated Expenses slumped 93.1% in 2024 and jumped 168.2% in 2025, its largest moves.
- Over 5 years, Other Accumulated Expenses stood at $34.4 million in 2022, then grew by 17.87% to $40.5 million in 2023, then tumbled by 93.1% to $2.8 million in 2024, then surged by 168.2% to $7.5 million in 2025, then slumped by 32.04% to $5.1 million in 2026.
- The last three Other Accumulated Expenses figures came in at $5.1 million (Q2 2026), $11.2 million (Q1 2026), and $7.5 million (Q4 2025), per Business Quant data.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.10 Mn |
| Mar 31, 2026 | 11.24 Mn |
| Dec 31, 2025 | 7.50 Mn |
| Sep 30, 2025 | 45.76 Mn |
| Jun 30, 2025 | 42.37 Mn |
| Mar 31, 2025 | 38.44 Mn |
| Dec 31, 2024 | 2.80 Mn |
| Sep 30, 2024 | 33.26 Mn |
| Jun 30, 2024 | 35.75 Mn |
| Mar 31, 2024 | 44.63 Mn |
| Dec 31, 2023 | 40.54 Mn |
| Sep 30, 2023 | 40.23 Mn |
| Jun 30, 2023 | 36.23 Mn |
| Mar 31, 2023 | 32.94 Mn |
| Dec 31, 2022 | 34.39 Mn |
| Sep 30, 2022 | 33.42 Mn |
| Jun 30, 2022 | 33.71 Mn |
| Mar 31, 2022 | 36.57 Mn |
| Dec 31, 2021 | 45.11 Mn |
| Sep 30, 2021 | 24.76 Mn |
API Access
Fastly Other Accumulated 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=other-accumulated-expenses&ticker=FSLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();