Fluent (FLNT) Research & Development (2018 - 2026)
Fluent's Research & Development was $3.05 million in Q2 2026, up 33.4% from $2.28 million a year earlier and up 8.0% from the prior quarter.
Fluent (FLNT) Research & Development (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fluent's Research & Development was $11.37 million through Jun 30, 2026, down 15.2% year-over-year; for FY2025, it came in at $11.84 million, down 31.5% from FY2024.
- Research & Development shows a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- In earlier years, Research & Development was $17.28 million in FY2024 (-6.4%), $18.45 million in FY2023 (+1.6%), $18.16 million in FY2022 (+15.0%) and $15.79 million in FY2021 (+25.3%).
- The Q2 2026 figure marks the highest quarterly Research & Development since Q1 2025.
- Compared with a year earlier, Research & Development was higher in 1 of the last eight quarters, with an average decline of 18.5%.
- The best year-over-year quarter for Research & Development over five years was Q2 2022 (growth of 39.9%); the worst was Q2 2025 (a decline of 51.6%).
- Per Business Quant data, FLNT's Research & Development in the three quarters before Q2 2026 was $2.82 million (Q1 2026), $2.88 million (Q4 2025) and $2.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,126.42 Bn | 3,883.94 Bn | 73.85 Bn | 18.22 Bn |
| 2 | Meta Platforms | 1,763.57 Bn | 1,466.09 Bn | 49.47 Bn | 21.66 Bn |
| 3 | Netflix | 287.17 Bn | 247.37 Bn | 6.52 Bn | 1.01 Bn |
| 4 | Alibaba Group Holding | 252.08 Bn | 65.86 Bn | 15.11 Bn | -3.32 Bn |
| 5 | Shopify | 224.54 Bn | 201.72 Bn | 1.71 Bn | 445.00 Mn |
| 6 | Uber Technologies | 140.28 Bn | 112.08 Bn | 6.38 Bn | 1.04 Bn |
| 7 | Booking Holdings | 125.81 Bn | 58.86 Bn | - | - |
| 8 | PDD Holdings | 114.10 Bn | -129.68 Bn | 9.45 Bn | -673.00 Mn |
| 9 | Spotify Technology | 108.24 Bn | 65.74 Bn | 1.86 Bn | 468.43 Mn |
| 10 | Fluent | 86.75 Mn | 47.39 Mn | 14.01 Mn | 3.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.05 Mn |
| Mar 31, 2026 | 2.82 Mn |
| Dec 31, 2025 | 2.88 Mn |
| Sep 30, 2025 | 2.62 Mn |
| Jun 30, 2025 | 2.28 Mn |
| Mar 31, 2025 | 3.40 Mn |
| Dec 31, 2024 | 3.60 Mn |
| Sep 30, 2024 | 4.12 Mn |
| Jun 30, 2024 | 4.72 Mn |
| Mar 31, 2024 | 4.84 Mn |
| Dec 31, 2023 | 4.39 Mn |
| Sep 30, 2023 | 4.51 Mn |
| Jun 30, 2023 | 4.62 Mn |
| Mar 31, 2023 | 4.94 Mn |
| Dec 31, 2022 | 4.18 Mn |
| Sep 30, 2022 | 4.62 Mn |
| Jun 30, 2022 | 4.80 Mn |
| Mar 31, 2022 | 4.56 Mn |
| Dec 31, 2021 | 4.46 Mn |
| Sep 30, 2021 | 4.46 Mn |
Fluent 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=FLNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=FLNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();