Cardlytics (CDLX) Return on Assets [ROA] (2018 - 2026)
Cardlytics (CDLX) reported Return on Assets [ROA] of -40.22% for Q2 2026, up 10.00 percentage points from -50.21% a year earlier but down 5.76 percentage points from the prior quarter.
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Analysis
Cardlytics (CDLX) Return on Assets [ROA] (2018 - 2026) Analysis & Trends
For FY2025, Cardlytics posted Return on Assets [ROA] of -30.51%, up 8.65 percentage points from FY2024.
- Return on Assets [ROA] has a five-year change of -13.38 percentage points (FY2020 to FY2025).
- By year, Return on Assets [ROA] came in at -39.16% in FY2024 (-17.87 pp), -21.29% in FY2023 (+26.31 pp), -47.60% in FY2022 (-32.35 pp) and -15.25% in FY2021 (+1.89 pp).
- Five-year quarterly Return on Assets [ROA] spans a low of -70.46% in Q1 2023 and a high of -5.66% in Q1 2022.
- Year over year, Return on Assets [ROA] has now increased in each of the last four quarters, with an average year-over-year change of +0.11 percentage points over the last eight quarters.
- The high point for year-over-year Return on Assets [ROA] in five years was Q1 2024 (a gain of 40.26 percentage points); the low point was Q1 2023 (a drop of 64.80 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -34.46% (Q1 2026), -35.78% (Q4 2025) and -33.90% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 30.04% |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 16.11% |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 22.85% |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 3.57% |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 13.49% |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 15.38% |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 25.12% |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 22.73% |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 24.85% |
| 10 | Cardlytics | 16.03 Mn | -164.50 Mn | - | -40.22% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -40.22% |
| Mar 31, 2026 | -34.46% |
| Dec 31, 2025 | -35.78% |
| Sep 30, 2025 | -33.90% |
| Jun 30, 2025 | -50.21% |
| Mar 31, 2025 | -46.81% |
| Dec 31, 2024 | -47.80% |
| Sep 30, 2024 | -58.80% |
| Jun 30, 2024 | -27.79% |
| Mar 31, 2024 | -30.20% |
| Dec 31, 2023 | -22.28% |
| Sep 30, 2023 | -64.99% |
| Jun 30, 2023 | -57.96% |
| Mar 31, 2023 | -70.46% |
| Dec 31, 2022 | -52.94% |
| Sep 30, 2022 | -9.17% |
| Jun 30, 2022 | -12.89% |
| Mar 31, 2022 | -5.66% |
| Dec 31, 2021 | -10.33% |
| Sep 30, 2021 | -10.05% |
API Access
Cardlytics Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=CDLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=CDLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();