Fastly (FSLY) Shares Outstanding (Diluted) (2019 - 2026)
Fastly's Shares Outstanding (Diluted) came in at 157.6 million for Q2 2026, up 8.1% from 145.78 million a year earlier and up 2.6% from the prior quarter.
Analysis
Fastly (FSLY) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Fastly's Shares Outstanding (Diluted) was 146.9 million, up 6.4% from FY2024.
- Shares Outstanding (Diluted) has increased in each of the last six years, with a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 138.1 million in FY2024 (+7.2%), 128.77 million in FY2023 (+5.8%), 121.72 million in FY2022 (+4.9%) and 116.05 million in FY2021 (+12.1%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2019.
- Year-over-year, Shares Outstanding (Diluted) has increased for 23 consecutive quarters, with growth averaging 6.9% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 4.8% (Q1 2023) and 12.1% (Q4 2021) over the last five years.
- Business Quant data shows FSLY's Shares Outstanding (Diluted) at 153.58 million (Q1 2026), 146.9 million (Q4 2025) and 148.13 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 7.45 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 953.30 Mn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 354.33 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 99.14 Mn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 282.72 Mn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 551.00 Mn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 91.10 Mn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 292.18 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 130.99 Mn |
| 10 | Fastly | 3.64 Bn | 2.27 Bn | 115.95 Mn | 157.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 157.60 Mn |
| Mar 31, 2026 | 153.58 Mn |
| Dec 31, 2025 | 146.90 Mn |
| Sep 30, 2025 | 148.13 Mn |
| Jun 30, 2025 | 145.78 Mn |
| Mar 31, 2025 | 143.28 Mn |
| Dec 31, 2024 | 138.10 Mn |
| Sep 30, 2024 | 139.24 Mn |
| Jun 30, 2024 | 137.44 Mn |
| Mar 31, 2024 | 134.59 Mn |
| Dec 31, 2023 | 128.77 Mn |
| Sep 30, 2023 | 129.87 Mn |
| Jun 30, 2023 | 127.86 Mn |
| Mar 31, 2023 | 125.42 Mn |
| Dec 31, 2022 | 121.72 Mn |
| Sep 30, 2022 | 122.34 Mn |
| Jun 30, 2022 | 121.24 Mn |
| Mar 31, 2022 | 119.67 Mn |
| Dec 31, 2021 | 116.05 Mn |
| Sep 30, 2021 | 116.48 Mn |
API Access
Fastly Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=FSLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();