Cardlytics (CDLX) Operating Margin (2017 - 2026)
Cardlytics (CDLX) reported Operating Margin of -14.75% for Q2 2026, up 1.73 percentage points from -16.49% a year earlier and up 9.36 percentage points from the prior quarter.
Powered by 
Analysis
Cardlytics (CDLX) Operating Margin (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cardlytics' Operating Margin came in at -49.44%, up 20.04 percentage points year-over-year; for FY2025, it came in at -43.65%, up 26.60 percentage points from FY2024.
- Operating Margin has a five-year change of -14.79 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at -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).
- Five-year quarterly Operating Margin spans a low of -463.78% in Q4 2022 and a high of 52.49% in Q1 2022.
- Year over year, Operating Margin gained in six of the last eight quarters, with an average year-over-year change of +2.00 percentage points.
- The high point for year-over-year Operating Margin in five years was Q4 2023 (a gain of 348.36 percentage points); the low point was Q4 2022 (a drop of 445.56 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -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) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 34.03% |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 30.88% |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 33.38% |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 5.64% |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 13.62% |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 13.32% |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 34.00% |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 24.71% |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 77.68% |
| 10 | Cardlytics | 17.12 Mn | -163.41 Mn | - | -14.75% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -14.75% |
| Mar 31, 2026 | -24.11% |
| Dec 31, 2025 | -10.87% |
| Sep 30, 2025 | -132.33% |
| 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% |
| Sep 30, 2021 | -61.24% |
API Access
Cardlytics Operating Margin 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=operating-margin&ticker=CDLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=CDLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();