Fastly (FSLY) Shares Outstanding (2018 - 2026)
Fastly (FSLY) posted Shares Outstanding of 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 (2018 - 2026) Analysis & Trends
For FY2025, Fastly's Shares Outstanding came in at 146.9 million, up 6.4% from FY2024.
- Annual Shares Outstanding has increased for eight consecutive years, with a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In prior years, Fastly's Shares Outstanding 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 stands as the highest quarterly Shares Outstanding in data going back to Q2 2018.
- On a year-over-year basis, Shares Outstanding has increased in each of the last 29 quarters, with growth averaging 6.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding ranged from 4.8% (Q1 2023) to 12.1% (Q4 2021).
- According to Business Quant data, Shares Outstanding for the three prior quarters was 153.58 million (Q1 2026), 146.9 million (Q4 2025) and 148.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 7.43 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 941.20 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 | 98.64 Mn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 242.53 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 | 90.80 Mn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 268.69 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 130.76 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 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&ticker=FSLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=FSLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();