Target (CBDY) Net Margin (2016 - 2026)
Target (CBDY) posted Net Margin of -17.37% for Q2 2026, up 0.27 percentage points from -17.64% a year earlier and up 45.21 percentage points from the prior quarter.
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Analysis
Target (CBDY) Net Margin (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Margin at Target was -52.13%, down 39.42 percentage points year-over-year; for FY2025, it was -35.03%, down 37.47 percentage points from FY2024.
- Annual Net Margin shows a five-year change of +23544.54 percentage points (FY2020 to FY2025).
- In prior years, Target's Net Margin was 2.43% in FY2024 (+11.14 pp) and -8.70% in FY2023.
- The Q2 2026 figure stands as the highest quarterly Net Margin since Q1 2025.
- On a year-over-year basis, Net Margin increased in four of the last eight quarters, with an average year-over-year change of -28.31 percentage points.
- The strongest year-over-year quarter for Net Margin in the past five years was Q4 2024, with a gain of 21.30 percentage points; the weakest was Q2 2024, with a drop of 97.68 percentage points.
- According to Business Quant data, Net Margin for the three prior quarters was -62.58% (Q1 2026), -75.12% (Q4 2025) and -95.95% (Q3 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -17.37% |
| Mar 31, 2026 | -62.58% |
| Dec 31, 2025 | -75.12% |
| Sep 30, 2025 | -95.95% |
| Jun 30, 2025 | -17.64% |
| Mar 31, 2025 | -7.73% |
| Dec 31, 2024 | 11.64% |
| Sep 30, 2024 | -97.75% |
| Jun 30, 2024 | 29.30% |
| Mar 31, 2024 | -10.06% |
| Dec 31, 2023 | -9.66% |
| Sep 30, 2023 | -34.10% |
| Jun 30, 2023 | 126.99% |
| Mar 31, 2020 | 9,350.08% |
| Mar 31, 2018 | 83,932.70% |
| Dec 31, 2017 | -754,351.65% |
| Sep 30, 2017 | -239,159.04% |
| Jun 30, 2017 | -401.49% |
| Mar 31, 2017 | -56,723.22% |
| Dec 31, 2016 | -10,477.31% |
API Access
Target Net 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=net-margin&ticker=CBDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "CBDY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-margin&ticker=CBDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();