Fastly (FSLY) Change in Accured Expenses (2018 - 2026)
Fastly's (FSLY) quarterly Change in Accured Expenses came in at -$14.5 million in Q2 2026, down 287.18% year-over-year from $7.7 million in Q2 2025, and down 510.45% quarter-over-quarter from $3.5 million in Q1 2026.
Fastly (FSLY) Change in Accured Expenses (2018 - 2026) Analysis & Trends
Fastly (FSLY) has reported Change in Accured Expenses for 9 consecutive years, with -$14.5 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Change in Accured Expenses fell 287.18% year-over-year to -$14.5 million in Q2 2026; TTM through Jun 2026 was -$9.9 million, a 157.07% decrease from a year earlier, with the FY2025 full-year figure at $18.0 million, up 379.13% from the prior year.
- Change in Accured Expenses was -$14.5 million for Q2 2026 at Fastly, down from $3.5 million in the prior quarter.
- Over five years, Change in Accured Expenses peaked at $13.0 million in Q3 2023 and troughed at -$14.5 million in Q2 2026.
- A 5-year average of $56722.2 and a median of $1.8 million in 2022 frame the typical range for Change in Accured Expenses.
- Across the five-year window, Change in Accured Expenses plunged 476.63% in 2023 and jumped 716.67% in 2024, its largest moves.
- Over 5 years, Change in Accured Expenses stood at $3.8 million in 2022, then sank by 476.63% to -$14.3 million in 2023, then surged by 89.57% to -$1.5 million in 2024, then surged by 44.37% to -$830000.0 in 2025, then sank by 1642.17% to -$14.5 million in 2026.
- The last three Change in Accured Expenses figures came in at -$14.5 million (Q2 2026), $3.5 million (Q1 2026), and -$830000.0 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | 39.19 Mn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn | -18.00 Mn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn | 23.10 Mn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn | -656.00 Mn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn | -15.60 Mn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn | 97.90 Mn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn | 26.94 Mn |
| 10 | Fastly | 3.97 Bn | 2.60 Bn | 115.95 Mn | -2.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.65 Mn |
| Mar 31, 2026 | 3.52 Mn |
| Dec 31, 2025 | 20,000.00 |
| Sep 30, 2025 | 1.34 Mn |
| Jun 30, 2025 | 1.58 Mn |
| Mar 31, 2025 | -3.38 Mn |
| Dec 31, 2024 | 1.22 Mn |
| Sep 30, 2024 | 2.71 Mn |
| Jun 30, 2024 | 1.91 Mn |
| Mar 31, 2024 | -8.76 Mn |
| Dec 31, 2023 | -1.60 Mn |
| Sep 30, 2023 | 340,000.00 |
| Jun 30, 2023 | 234,000.00 |
| Mar 31, 2023 | -6.83 Mn |
| Dec 31, 2022 | 3.80 Mn |
| Sep 30, 2022 | 3.33 Mn |
| Jun 30, 2022 | -3.73 Mn |
| Mar 31, 2022 | 4.89 Mn |
| Dec 31, 2021 | 1.55 Mn |
| Sep 30, 2021 | 6.55 Mn |
Fastly Change in Accured 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=change-in-accured-expenses&ticker=FSLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();