Fastly (FSLY) Total Liabilities (2018 - 2026)
Fastly's (FSLY) quarterly Total Liabilities came in at $512.8 million in Q2 2026, down 1.48% year-over-year from $520.5 million in Q2 2025, and down 4.39% quarter-over-quarter from $536.4 million in Q1 2026.
Fastly (FSLY) Total Liabilities (2018 - 2026) Analysis & Trends
Fastly (FSLY) has reported Total Liabilities for 9 consecutive years, with $512.8 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Total Liabilities fell 1.48% year-over-year to $512.8 million in Q2 2026; TTM through Jun 2026 was $512.8 million, a 1.48% decrease from a year earlier, with the FY2025 full-year figure at $569.9 million, up 17.24% from the prior year.
- Total Liabilities was $512.8 million for Q2 2026 at Fastly, down from $536.4 million in the prior quarter.
- Over five years, Total Liabilities peaked at $1.2 billion in Q1 2022 and troughed at $486.1 million in Q4 2024.
- A 5-year average of $663.2 million and a median of $541.0 million in 2023 frame the typical range for Total Liabilities.
- Across the five-year window, Total Liabilities tumbled 43.12% in 2024 and advanced 17.24% in 2025, its largest moves.
- Over 5 years, Total Liabilities stood at $941.0 million in 2022, then slumped by 42.01% to $545.7 million in 2023, then retreated by 10.92% to $486.1 million in 2024, then grew by 17.24% to $569.9 million in 2025, then decreased by 10.01% to $512.8 million in 2026.
- The last three Total Liabilities figures came in at $512.8 million (Q2 2026), $536.4 million (Q1 2026), and $569.9 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn | 315.99 Bn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn | 117.56 Bn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn | 4.85 Bn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn | 26.69 Bn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn | 17.62 Bn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn | 72.05 Bn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn | 4.06 Bn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn | 4.37 Bn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn | 10.32 Bn |
| 10 | Fastly | 3.97 Bn | 2.60 Bn | 115.95 Mn | 512.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 512.83 Mn |
| Mar 31, 2026 | 536.38 Mn |
| Dec 31, 2025 | 569.90 Mn |
| Sep 30, 2025 | 533.64 Mn |
| Jun 30, 2025 | 520.53 Mn |
| Mar 31, 2025 | 492.22 Mn |
| Dec 31, 2024 | 486.11 Mn |
| Sep 30, 2024 | 502.30 Mn |
| Jun 30, 2024 | 501.49 Mn |
| Mar 31, 2024 | 514.12 Mn |
| Dec 31, 2023 | 545.70 Mn |
| Sep 30, 2023 | 672.09 Mn |
| Jun 30, 2023 | 669.66 Mn |
| Mar 31, 2023 | 903.86 Mn |
| Dec 31, 2022 | 940.96 Mn |
| Sep 30, 2022 | 939.62 Mn |
| Jun 30, 2022 | 939.06 Mn |
| Mar 31, 2022 | 1.16 Bn |
| Dec 31, 2021 | 1.15 Bn |
| Sep 30, 2021 | 1.12 Bn |
Fastly Total Liabilities 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=total-liabilities&ticker=FSLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();