Fluent (FLNT) Return on Sales [ROS] (2015 - 2026)
Fluent (FLNT) posted Return on Sales [ROS] of -10.22% for Q2 2026, up 5.68 percentage points from -15.89% a year earlier but down 1.50 percentage points from the prior quarter.
Fluent (FLNT) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Fluent was -7.42%, up 2.81 percentage points year-over-year; for FY2025, it came in at -9.73%, down 0.44 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -12.43 percentage points (FY2020 to FY2025).
- In prior years, Fluent's Return on Sales [ROS] was -9.29% in FY2024 (+10.86 pp), -20.15% in FY2023 (+12.96 pp), -33.12% in FY2022 (-31.70 pp) and -1.42% in FY2021 (-4.11 pp).
- Quarterly Return on Sales [ROS] has run from a low of -79.37% in Q4 2022 to a high of 8.20% in Q2 2023 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last three quarters, with an average year-over-year change of +5.66 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2023, with a gain of 76.92 percentage points; the weakest was Q4 2022, with a drop of 83.80 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -8.72% (Q1 2026), 0.26% (Q4 2025) and -13.40% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,939.60 Bn | 3,697.12 Bn | 73.85 Bn | 34.03% |
| 2 | Meta Platforms | 1,653.27 Bn | 1,355.79 Bn | 49.47 Bn | 30.88% |
| 3 | Netflix | 275.33 Bn | 236.63 Bn | 6.80 Bn | 34.63% |
| 4 | Alibaba Group Holding | 236.23 Bn | 58.44 Bn | 15.11 Bn | 5.62% |
| 5 | Shopify | 218.65 Bn | 195.83 Bn | 1.71 Bn | 13.62% |
| 6 | Uber Technologies | 140.84 Bn | 112.82 Bn | 6.38 Bn | 13.32% |
| 7 | Booking Holdings | 121.05 Bn | 54.10 Bn | - | 34.00% |
| 8 | Spotify Technology | 120.09 Bn | 77.01 Bn | 1.89 Bn | 13.52% |
| 9 | PDD Holdings | 112.69 Bn | -131.09 Bn | 9.45 Bn | 24.62% |
| 10 | Fluent | 86.88 Mn | 47.52 Mn | 14.01 Mn | -10.22% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.22% |
| Mar 31, 2026 | -8.72% |
| Dec 31, 2025 | 0.26% |
| Sep 30, 2025 | -13.40% |
| Jun 30, 2025 | -15.89% |
| Mar 31, 2025 | -12.82% |
| Dec 31, 2024 | -8.32% |
| Sep 30, 2024 | -6.03% |
| Jun 30, 2024 | -17.67% |
| Mar 31, 2024 | -5.99% |
| Dec 31, 2023 | -2.45% |
| Sep 30, 2023 | -51.23% |
| Jun 30, 2023 | 8.20% |
| Mar 31, 2023 | -40.33% |
| Dec 31, 2022 | -79.37% |
| Sep 30, 2022 | 0.70% |
| Jun 30, 2022 | -52.25% |
| Mar 31, 2022 | -1.83% |
| Dec 31, 2021 | 4.43% |
| Sep 30, 2021 | -2.38% |
Fluent Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FLNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FLNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();