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 | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 18.96% |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 19.78% |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 33.64% |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 2.15% |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 15.96% |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 13.04% |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 85.44% |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 20.03% |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 96.01% |
| 10 | Cardlytics | 8.89 Mn | -157.62 Mn | 29.73 Mn | -18.93% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -18.93% |
| Jun 30, 2026 | -50.72% |
| Mar 31, 2026 | -45.94% |
| Dec 31, 2025 | -48.29% |
| Sep 30, 2025 | -46.96% |
| 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% |
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();