Cardlytics (CDLX) Return on Sales [ROS] (2017 - 2026)
Cardlytics' Return on Sales [ROS] was -14.75% in Q2 2026, up 1.73 percentage points from -16.49% a year earlier and up 9.36 percentage points from the prior quarter.
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Analysis
Cardlytics (CDLX) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cardlytics' Return on Sales [ROS] was -49.44% through Jun 30, 2026, up 20.04 percentage points year-over-year; for FY2025, it was -43.65%, up 26.60 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -14.79 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -70.25% in FY2024 (-26.37 pp), -43.88% in FY2023 (+109.46 pp), -153.34% in FY2022 (-107.44 pp) and -45.90% in FY2021 (-17.04 pp).
- Quarterly Return on Sales [ROS] has moved between -463.78% (Q4 2022) and 52.49% (Q1 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in six of the last eight quarters, with an average year-over-year change of +2.00 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2023 (a gain of 348.36 percentage points); the worst was Q4 2022 (a drop of 445.56 percentage points).
- Per Business Quant data, CDLX's Return on Sales [ROS] in the three quarters before Q2 2026 was -24.11% (Q1 2026), -10.87% (Q4 2025) and -132.33% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 31.81% |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 20.10% |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 34.63% |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 5.64% |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 15.18% |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 9.80% |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 78.22% |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 13.52% |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 38.43% |
| 10 | Cardlytics | 8.89 Mn | -157.62 Mn | 29.73 Mn | -16.49% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -16.49% |
| Jun 30, 2026 | -14.75% |
| Mar 31, 2026 | -24.11% |
| Dec 31, 2025 | -20.44% |
| Sep 30, 2025 | -141.50% |
| Jun 30, 2025 | -16.49% |
| Mar 31, 2025 | -19.70% |
| Dec 31, 2024 | -11.24% |
| Sep 30, 2024 | -221.52% |
| Jun 30, 2024 | -22.71% |
| Mar 31, 2024 | -33.76% |
| Dec 31, 2023 | -115.43% |
| Sep 30, 2023 | -26.14% |
| Jun 30, 2023 | -31.71% |
| Mar 31, 2023 | 19.01% |
| Dec 31, 2022 | -463.78% |
| Sep 30, 2022 | 15.84% |
| Jun 30, 2022 | -162.22% |
| Mar 31, 2022 | 52.49% |
| Dec 31, 2021 | -18.22% |
API Access
Cardlytics 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=CDLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CDLX", "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=CDLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();