Cardlytics (CDLX) Return on Capital Employed [ROCE] (2018 - 2026)
Cardlytics (CDLX) recorded Return on Capital Employed [ROCE] of -47.41% in Q2 2026, up 27.83 percentage points from -75.25% a year earlier but down 4.34 percentage points from the prior quarter.
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Analysis
Cardlytics (CDLX) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2025, Cardlytics reported Return on Capital Employed [ROCE] of -39.04%, up 19.41 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -16.77 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -58.45% in FY2024 (-29.05 pp), -29.40% in FY2023 (+33.44 pp), -62.83% in FY2022 (-39.06 pp) and -23.77% in FY2021 (-1.50 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from -96.81% in Q1 2023 to -6.47% in Q1 2022 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for four consecutive quarters, with an average year-over-year change of +1.42 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 60.41 percentage points in Q1 2024, against a drop of 90.34 percentage points in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -43.07% (Q1 2026), -45.36% (Q4 2025) and -48.14% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 21.49% |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 23.74% |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 30.16% |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 2.77% |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 14.37% |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 13.97% |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 121.68% |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 22.53% |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 19.81% |
| 10 | Cardlytics | 16.03 Mn | -164.50 Mn | - | -47.41% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -47.41% |
| Mar 31, 2026 | -43.07% |
| Dec 31, 2025 | -45.36% |
| Sep 30, 2025 | -48.14% |
| Jun 30, 2025 | -75.25% |
| Mar 31, 2025 | -73.80% |
| Dec 31, 2024 | -79.12% |
| Sep 30, 2024 | -93.29% |
| Jun 30, 2024 | -36.28% |
| Mar 31, 2024 | -36.40% |
| Dec 31, 2023 | -31.31% |
| Sep 30, 2023 | -91.37% |
| Jun 30, 2023 | -78.04% |
| Mar 31, 2023 | -96.81% |
| Dec 31, 2022 | -72.68% |
| Sep 30, 2022 | -11.12% |
| Jun 30, 2022 | -16.48% |
| Mar 31, 2022 | -6.47% |
| Dec 31, 2021 | -13.37% |
| Sep 30, 2021 | -11.77% |
API Access
Cardlytics Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=CDLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=CDLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();