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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 24.48% |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 16.20% |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 25.21% |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 3.56% |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 14.56% |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 5.24% |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 59.50% |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 21.55% |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 24.77% |
| 10 | Cardlytics | 8.89 Mn | -157.62 Mn | 29.73 Mn | -19.49% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -19.49% |
| Jun 30, 2026 | -43.66% |
| Mar 31, 2026 | -37.58% |
| Dec 31, 2025 | -38.75% |
| 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% |
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_KEY
import 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();