Fluent (FLNT) Revenue (2015 - 2026)
Fluent (FLNT) recorded Revenue of $48.45 million in Q2 2026, up 8.4% from $44.71 million a year earlier and up 8.0% from the prior quarter.
Fluent (FLNT) Revenue (2015 - 2026) Analysis & Trends
On a TTM basis, Fluent's Revenue came in at $202.15 million as of Jun 30, 2026, down 12.0% year-over-year; for FY2025, it was $208.76 million, down 18.0% from FY2024.
- Annual Revenue has declined for three straight years, with a five-year compound annual growth rate of -7.6% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $254.62 million in FY2024 (-14.7%), $298.4 million in FY2023 (-17.4%), $361.13 million in FY2022 (+9.7%) and $329.25 million in FY2021 (+6.0%).
- Quarterly Revenue has ranged from $44.71 million in Q2 2025 to $99.84 million in Q4 2021 over the past five years.
- On a year-over-year basis, Revenue rose in 1 of the last eight quarters, with an average decline of 12.0%.
- Peak year-over-year performance for Revenue in the last five years was growth of 34.0% in Q2 2022, against a decline of 28.5% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $44.85 million (Q1 2026), $61.82 million (Q4 2025) and $47.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,126.42 Bn | 3,883.94 Bn | 73.85 Bn | 119.80 Bn |
| 2 | Meta Platforms | 1,763.57 Bn | 1,466.09 Bn | 49.47 Bn | 60.80 Bn |
| 3 | Netflix | 287.17 Bn | 247.37 Bn | 6.52 Bn | 12.56 Bn |
| 4 | Alibaba Group Holding | 252.08 Bn | 65.86 Bn | 15.11 Bn | 39.64 Bn |
| 5 | Shopify | 224.54 Bn | 201.72 Bn | 1.71 Bn | 3.58 Bn |
| 6 | Uber Technologies | 140.28 Bn | 112.08 Bn | 6.38 Bn | 14.19 Bn |
| 7 | Booking Holdings | 125.81 Bn | 58.86 Bn | - | 7.35 Bn |
| 8 | PDD Holdings | 114.10 Bn | -129.68 Bn | 9.45 Bn | 16.56 Bn |
| 9 | Spotify Technology | 108.24 Bn | 65.74 Bn | 1.86 Bn | 5.55 Bn |
| 10 | Fluent | 86.75 Mn | 47.39 Mn | 14.01 Mn | 48.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.45 Mn |
| Mar 31, 2026 | 44.85 Mn |
| Dec 31, 2025 | 61.82 Mn |
| Sep 30, 2025 | 47.03 Mn |
| Jun 30, 2025 | 44.71 Mn |
| Mar 31, 2025 | 55.21 Mn |
| Dec 31, 2024 | 65.41 Mn |
| Sep 30, 2024 | 64.52 Mn |
| Jun 30, 2024 | 58.72 Mn |
| Mar 31, 2024 | 65.98 Mn |
| Dec 31, 2023 | 72.76 Mn |
| Sep 30, 2023 | 66.24 Mn |
| Jun 30, 2023 | 82.15 Mn |
| Mar 31, 2023 | 77.25 Mn |
| Dec 31, 2022 | 84.66 Mn |
| Sep 30, 2022 | 89.05 Mn |
| Jun 30, 2022 | 98.36 Mn |
| Mar 31, 2022 | 89.06 Mn |
| Dec 31, 2021 | 99.84 Mn |
| Sep 30, 2021 | 85.86 Mn |
Fluent Revenue 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=revenue&ticker=FLNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=FLNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();