Fastly (FSLY) Total Current Liabilities (2018 - 2026)
Fastly's Total Current Liabilities was $142.52 million in Q2 2026, down 54.4% from $312.8 million a year earlier and down 12.8% from the prior quarter.
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Analysis
Fastly (FSLY) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Fastly came in at $194 million, up 85.7% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $104.46 million in FY2024 (-29.3%), $147.69 million in FY2023 (-3.0%), $152.32 million in FY2022 (+15.5%) and $131.87 million in FY2021 (+40.2%).
- The Q2 2026 figure marks the lowest quarterly Total Current Liabilities since Q4 2024.
- Compared with a year earlier, Total Current Liabilities was higher in four of the last eight quarters, with growth averaging 57.6%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q3 2025 (growth of 188.0%); the worst was Q2 2026 (a decline of 54.4%).
- Per Business Quant data, FSLY's Total Current Liabilities in the three quarters before Q2 2026 was $163.44 million (Q1 2026), $194 million (Q4 2025) and $328.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 168.83 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 35.91 Bn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 2.63 Bn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 3.82 Bn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 2.39 Bn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 20.92 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 1.90 Bn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 1.68 Bn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 3.12 Bn |
| 10 | Fastly | 3.64 Bn | 2.27 Bn | 115.95 Mn | 142.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 142.52 Mn |
| Mar 31, 2026 | 163.44 Mn |
| Dec 31, 2025 | 194.00 Mn |
| Sep 30, 2025 | 328.92 Mn |
| Jun 30, 2025 | 312.80 Mn |
| Mar 31, 2025 | 300.89 Mn |
| Dec 31, 2024 | 104.46 Mn |
| Sep 30, 2024 | 114.21 Mn |
| Jun 30, 2024 | 109.30 Mn |
| Mar 31, 2024 | 120.23 Mn |
| Dec 31, 2023 | 147.69 Mn |
| Sep 30, 2023 | 143.34 Mn |
| Jun 30, 2023 | 131.60 Mn |
| Mar 31, 2023 | 125.20 Mn |
| Dec 31, 2022 | 152.32 Mn |
| Sep 30, 2022 | 144.60 Mn |
| Jun 30, 2022 | 140.99 Mn |
| Mar 31, 2022 | 140.17 Mn |
| Dec 31, 2021 | 131.87 Mn |
| Sep 30, 2021 | 107.27 Mn |
API Access
Fastly Total Current 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-current-liabilities&ticker=FSLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();