Fluent (FLNT) Operating Expenses (2014 - 2026)
Fluent (FLNT) reported Operating Expenses of $53.4 million for Q2 2026, up 3.1% from $51.81 million a year earlier and up 9.5% from the prior quarter.
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Analysis
Fluent (FLNT) Operating Expenses (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fluent's Operating Expenses came in at $217.15 million, down 14.3% year-over-year; for FY2025, it came in at $229.09 million, down 17.7% from FY2024.
- Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -5.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $278.28 million in FY2024 (-22.4%), $358.53 million in FY2023 (-25.4%), $480.73 million in FY2022 (+44.0%) and $333.92 million in FY2021 (+10.4%).
- Five-year quarterly Operating Expenses spans a low of $48.76 million in Q1 2026 and a high of $151.86 million in Q4 2022.
- Year over year, Operating Expenses gained in 1 of the last eight quarters, with an average decline of 15.8%.
- The high point for year-over-year Operating Expenses in five years was Q2 2022 (growth of 91.7%); the low point was Q4 2023 (a decline of 50.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $48.76 million (Q1 2026), $61.66 million (Q4 2025) and $53.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Fluent | 97.62 Mn | 58.27 Mn | 14.01 Mn | 53.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.40 Mn |
| Mar 31, 2026 | 48.76 Mn |
| Dec 31, 2025 | 61.66 Mn |
| Sep 30, 2025 | 53.33 Mn |
| Jun 30, 2025 | 51.81 Mn |
| Mar 31, 2025 | 62.29 Mn |
| Dec 31, 2024 | 70.85 Mn |
| Sep 30, 2024 | 68.40 Mn |
| Jun 30, 2024 | 69.10 Mn |
| Mar 31, 2024 | 69.94 Mn |
| Dec 31, 2023 | 74.54 Mn |
| Sep 30, 2023 | 100.17 Mn |
| Jun 30, 2023 | 75.41 Mn |
| Mar 31, 2023 | 108.41 Mn |
| Dec 31, 2022 | 151.86 Mn |
| Sep 30, 2022 | 88.42 Mn |
| Jun 30, 2022 | 149.75 Mn |
| Mar 31, 2022 | 90.69 Mn |
| Dec 31, 2021 | 95.42 Mn |
| Sep 30, 2021 | 87.91 Mn |
API Access
Fluent Operating Expenses 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=operating-expenses&ticker=FLNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FLNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();