Fastly (FSLY) Research & Development (2018 - 2026)
Fastly's Research & Development was $42.07 million in Q2 2026, down 0.4% from $42.22 million a year earlier but up 0.2% from the prior quarter.
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Analysis
Fastly (FSLY) Research & Development (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fastly's Research & Development was $167.06 million through Jun 30, 2026, up 15.8% year-over-year; for FY2025, it was $162.66 million, up 17.9% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 16.8% (FY2020 to FY2025).
- In earlier years, Research & Development was $137.98 million in FY2024 (-9.3%), $152.19 million in FY2023 (-2.0%), $155.31 million in FY2022 (+22.4%) and $126.86 million in FY2021 (+69.6%).
- Quarterly Research & Development has moved between $31.88 million (Q3 2024) and $42.22 million (Q2 2025) over five years.
- Compared with a year earlier, Research & Development was higher in four of the last eight quarters, with growth averaging 6.8%.
- The best year-over-year quarter for Research & Development over five years was Q3 2021 (growth of 78.0%); the worst was Q3 2024 (a decline of 18.4%).
- Per Business Quant data, FSLY's Research & Development in the three quarters before Q2 2026 was $41.97 million (Q1 2026), $41.59 million (Q4 2025) and $41.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 10.00 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 2.31 Bn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 159.49 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | - |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 191.00 Mn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | - |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 27.50 Mn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 205.05 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | - |
| 10 | Fastly | 3.64 Bn | 2.27 Bn | 115.95 Mn | 42.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.07 Mn |
| Mar 31, 2026 | 41.97 Mn |
| Dec 31, 2025 | 41.59 Mn |
| Sep 30, 2025 | 41.42 Mn |
| Jun 30, 2025 | 42.22 Mn |
| Mar 31, 2025 | 37.43 Mn |
| Dec 31, 2024 | 32.74 Mn |
| Sep 30, 2024 | 31.88 Mn |
| Jun 30, 2024 | 35.11 Mn |
| Mar 31, 2024 | 38.25 Mn |
| Dec 31, 2023 | 38.27 Mn |
| Sep 30, 2023 | 39.07 Mn |
| Jun 30, 2023 | 37.42 Mn |
| Mar 31, 2023 | 37.43 Mn |
| Dec 31, 2022 | 37.20 Mn |
| Sep 30, 2022 | 38.96 Mn |
| Jun 30, 2022 | 38.72 Mn |
| Mar 31, 2022 | 40.44 Mn |
| Dec 31, 2021 | 35.00 Mn |
| Sep 30, 2021 | 32.53 Mn |
API Access
Fastly Research & Development 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=research-and-development&ticker=FSLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();