Fluent (FLNT) Shares Outstanding (Diluted) (2010 - 2026)
Fluent (FLNT) recorded Shares Outstanding (Diluted) of 31.54 million in Q2 2026, up 31.1% from 24.06 million a year earlier and up 0.7% from the prior quarter.
Fluent (FLNT) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Fluent reported Shares Outstanding (Diluted) of 25.97 million, up 59.7% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for nine straight years, with a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 16.26 million in FY2024 (+18.1%), 13.77 million in FY2023 (+1.5%), 13.57 million in FY2022 (+1.8%) and 13.33 million in FY2021 (+0.6%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2010.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 17 consecutive quarters, with growth averaging 44.2% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 70.8% in Q3 2025, against a decline of 1.2% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 31.33 million (Q1 2026), 25.97 million (Q4 2025) and 28.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 12.31 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 2.57 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 4.26 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 2.40 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.30 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 2.05 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 770.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 1.48 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 210.51 Mn |
| 10 | Fluent | 99.52 Mn | 60.16 Mn | 14.01 Mn | 31.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.54 Mn |
| Mar 31, 2026 | 31.33 Mn |
| Dec 31, 2025 | 25.97 Mn |
| Sep 30, 2025 | 28.10 Mn |
| Jun 30, 2025 | 24.06 Mn |
| Mar 31, 2025 | 21.21 Mn |
| Dec 31, 2024 | 16.26 Mn |
| Sep 30, 2024 | 16.45 Mn |
| Jun 30, 2024 | 15.53 Mn |
| Mar 31, 2024 | 13.90 Mn |
| Dec 31, 2023 | 13.77 Mn |
| Sep 30, 2023 | 13.81 Mn |
| Jun 30, 2023 | 13.79 Mn |
| Mar 31, 2023 | 13.65 Mn |
| Dec 31, 2022 | 13.57 Mn |
| Sep 30, 2022 | 13.62 Mn |
| Jun 30, 2022 | 13.58 Mn |
| Mar 31, 2022 | 13.48 Mn |
| Dec 31, 2021 | 13.33 Mn |
| Sep 30, 2021 | 13.36 Mn |
Fluent 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=FLNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "FLNT", "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=FLNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();