Fluent (FLNT) Non Operating Interest Expenses (2015 - 2026)
Fluent (FLNT) posted Non Operating Interest Expenses of -$637,000 for Q2 2026, compared with -$702,000 a year earlier.
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Analysis
Fluent (FLNT) Non Operating Interest Expenses (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at Fluent was $1.46 million, down 41.5% year-over-year; for FY2025, it came in at $3.07 million, down 35.3% from FY2024.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of -10.5% (FY2020 to FY2025).
- In prior years, Fluent's Non Operating Interest Expenses was $4.75 million in FY2024 (+48.2%), $3.2 million in FY2023 (+63.1%), $1.97 million in FY2022 (-10.0%) and $2.18 million in FY2021 (-59.2%).
- Quarterly Non Operating Interest Expenses has run from a low of -$702,000 in Q2 2025 to a high of $1.42 million in Q1 2024 over five years.
- On a year-over-year basis, Non Operating Interest Expenses increased in two of the last six quarters, with an average decline of 11.5%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q1 2024, with growth of 105.4%; the weakest was Q4 2021, with a decline of 70.5%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $605,000 (Q1 2026), $781,000 (Q4 2025) and $711,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,071.44 Bn | 3,828.96 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,777.07 Bn | 1,479.59 Bn | 49.47 Bn | - |
| 3 | Netflix | 272.74 Bn | 232.94 Bn | 6.52 Bn | 175.69 Mn |
| 4 | Alibaba Group Holding | 242.17 Bn | 55.95 Bn | 15.11 Bn | -346.00 Mn |
| 5 | Shopify | 225.98 Bn | 203.16 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 137.80 Bn | 109.60 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 121.57 Bn | 54.62 Bn | - | 300.00 Mn |
| 8 | PDD Holdings | 110.14 Bn | -133.64 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 107.49 Bn | 64.99 Bn | 1.86 Bn | -24.41 Mn |
| 10 | Fluent | 87.69 Mn | 48.34 Mn | 14.01 Mn | -637,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -637,000.00 |
| Mar 31, 2026 | -605,000.00 |
| Dec 31, 2025 | -5.37 Mn |
| Sep 30, 2025 | 711,000.00 |
| Jun 30, 2025 | -702,000.00 |
| Mar 31, 2025 | 880,000.00 |
| Dec 31, 2024 | 1.04 Mn |
| Sep 30, 2024 | 1.28 Mn |
| Jun 30, 2024 | 1.02 Mn |
| Mar 31, 2024 | 1.42 Mn |
| Dec 31, 2023 | 784,000.00 |
| Sep 30, 2023 | 936,000.00 |
| Jun 30, 2023 | 795,000.00 |
| Mar 31, 2023 | 689,000.00 |
| Dec 31, 2022 | 634,000.00 |
| Sep 30, 2022 | 517,000.00 |
| Jun 30, 2022 | 430,000.00 |
| Mar 31, 2022 | 384,000.00 |
| Dec 31, 2021 | 344,000.00 |
| Sep 30, 2021 | 405,000.00 |
API Access
Fluent Non Operating Interest 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=non-operating-interest-expenses&ticker=FLNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=FLNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();