Fluent (FLNT) Accumulated Expenses (2010 - 2026)
Fluent's Accumulated Expenses came in at $23.47 million for Q2 2026, up 19.2% from $19.7 million a year earlier and up 17.2% from the prior quarter.
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Analysis
Fluent (FLNT) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Fluent's Accumulated Expenses was $25.16 million, up 14.9% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $21.91 million in FY2024 (-28.3%), $30.53 million in FY2023 (-14.3%), $35.63 million in FY2022 (+5.0%) and $33.93 million in FY2021 (+7.5%).
- The five-year range for quarterly Accumulated Expenses is $15.31 million (Q3 2025) to $35.63 million (Q4 2022).
- Year-over-year, Accumulated Expenses has increased for three consecutive quarters, with an average decline of 11.4% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q2 2022 (growth of 55.8%), and the weakest in Q3 2025 (a decline of 43.9%).
- Business Quant data shows FLNT's Accumulated Expenses at $20.02 million (Q1 2026), $25.16 million (Q4 2025) and $15.31 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,924.29 Bn | 3,681.81 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,641.81 Bn | 1,344.33 Bn | 49.47 Bn |
| 3 | Netflix | 275.91 Bn | 237.21 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 235.81 Bn | 49.59 Bn | 15.11 Bn |
| 5 | Shopify | 218.39 Bn | 195.58 Bn | 1.71 Bn |
| 6 | Uber Technologies | 140.20 Bn | 112.00 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.99 Bn | 57.04 Bn | - |
| 8 | Spotify Technology | 119.36 Bn | 76.86 Bn | 1.86 Bn |
| 9 | PDD Holdings | 110.55 Bn | -133.22 Bn | 9.45 Bn |
| 10 | Fluent | 86.75 Mn | 47.39 Mn | 14.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.47 Mn |
| Mar 31, 2026 | 20.02 Mn |
| Dec 31, 2025 | 25.16 Mn |
| Sep 30, 2025 | 15.31 Mn |
| Jun 30, 2025 | 19.70 Mn |
| Mar 31, 2025 | 19.69 Mn |
| Dec 31, 2024 | 21.91 Mn |
| Sep 30, 2024 | 27.27 Mn |
| Jun 30, 2024 | 26.21 Mn |
| Mar 31, 2024 | 30.88 Mn |
| Dec 31, 2023 | 30.53 Mn |
| Sep 30, 2023 | 25.75 Mn |
| Jun 30, 2023 | 27.47 Mn |
| Mar 31, 2023 | 33.19 Mn |
| Dec 31, 2022 | 35.63 Mn |
| Sep 30, 2022 | 27.58 Mn |
| Jun 30, 2022 | 34.62 Mn |
| Mar 31, 2022 | 28.82 Mn |
| Dec 31, 2021 | 33.93 Mn |
| Sep 30, 2021 | 28.88 Mn |
API Access
Fluent Accumulated 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=accumulated-expenses&ticker=FLNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=FLNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();