Fastly (FSLY) Total Liabilities (2018 - 2026)
Fastly (FSLY) reported Total Liabilities of $512.83 million for Q2 2026, down 1.5% from $520.53 million a year earlier and down 4.4% from the prior quarter.
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Analysis
Fastly (FSLY) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Fastly posted Total Liabilities of $569.9 million, up 17.2% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 29.2% (FY2020 to FY2025).
- By year, Total Liabilities came in at $486.11 million in FY2024 (-10.9%), $545.7 million in FY2023 (-42.0%), $940.96 million in FY2022 (-17.8%) and $1.15 billion in FY2021 (+624.3%).
- The Q2 2026 figure ranks as the lowest quarterly Total Liabilities since Q1 2025.
- Year over year, Total Liabilities gained in four of the last eight quarters, with an average decline of 0.7%.
- The high point for year-over-year Total Liabilities in five years was Q4 2021 (growth of 624.3%); the low point was Q1 2024 (a decline of 43.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $536.38 million (Q1 2026), $569.9 million (Q4 2025) and $533.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn | 308.89 Bn |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn | 118.81 Bn |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn | 29.91 Bn |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn | 6.23 Bn |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn | 17.62 Bn |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn | 3.56 Bn |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn | 72.05 Bn |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn | 4.37 Bn |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn | 8.05 Bn |
| 10 | Fastly | 2.56 Bn | 1.16 Bn | 120.41 Mn | 540.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 540.42 Mn |
| 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 |
API Access
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_KEYimport 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();