Fastly (FSLY) Non Operating Interest Expenses (2018 - 2026)
Fastly (FSLY) recorded Non Operating Interest Expenses of $3.35 million in Q2 2026, up 5.8% from $3.16 million a year earlier and up 1.3% from the prior quarter.
Fastly (FSLY) Non Operating Interest Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, Fastly's Non Operating Interest Expenses came in at $13.02 million as of Jun 30, 2026, up 61.9% year-over-year; for FY2025, it came in at $12.7 million, up 362.3% from FY2024.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 52.3% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $2.75 million in FY2024 (-32.2%), $4.05 million in FY2023 (-31.2%), $5.89 million in FY2022 (+12.2%) and $5.25 million in FY2021 (+238.6%).
- The Q2 2026 figure is the highest quarterly Non Operating Interest Expenses in data going back to Q2 2018.
- On a year-over-year basis, Non Operating Interest Expenses has increased for seven consecutive quarters, with growth averaging 223.6% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 581.9% in Q2 2025, against a decline of 62.3% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.31 million (Q1 2026), $3.2 million (Q4 2025) and $3.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 839.00 Mn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 486.00 Mn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 3.09 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 151.00 Mn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | -119.10 Mn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | - |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 19.20 Mn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 37.40 Mn |
| 10 | Fastly | 3.64 Bn | 2.27 Bn | 115.95 Mn | 3.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.35 Mn |
| Mar 31, 2026 | 3.31 Mn |
| Dec 31, 2025 | 3.20 Mn |
| Sep 30, 2025 | 3.16 Mn |
| Jun 30, 2025 | 3.16 Mn |
| Mar 31, 2025 | 3.17 Mn |
| Dec 31, 2024 | 1.23 Mn |
| Sep 30, 2024 | 473,000.00 |
| Jun 30, 2024 | 464,000.00 |
| Mar 31, 2024 | 579,000.00 |
| Dec 31, 2023 | 744,000.00 |
| Sep 30, 2023 | 862,000.00 |
| Jun 30, 2023 | 1.23 Mn |
| Mar 31, 2023 | 1.21 Mn |
| Dec 31, 2022 | 1.35 Mn |
| Sep 30, 2022 | 1.38 Mn |
| Jun 30, 2022 | 1.53 Mn |
| Mar 31, 2022 | 1.62 Mn |
| Dec 31, 2021 | 1.59 Mn |
| Sep 30, 2021 | 1.56 Mn |
Fastly Non Operating Interest 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=non-operating-interest-expenses&ticker=FSLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();