Broadline Retail
Broadline Retail is losing market weight. Gained weight for 1 consecutive month.
Most of this industry's losses came from a few companies.
Where did the weight change come from?
12-month contribution in universe percentage points · contributions add to the industry change
The three largest same-direction contributors explain 100% of gross losses. Opposing contributions can make an individual company’s change larger than the industry’s net change.
How has it moved through history?
Share of matched S&P 500 members
Jan 2018 – Jun 2019 · market weight (%)
Relative performance
Industry return versus ACWI · no future data shown
Is participation broad or concentrated?
Actual constituent counts at this date, not the legacy synthetic breadth proxy
This is size concentration, not contribution to the 12-month change. The attribution above measures the latter.
Evidence can disagree
Independent dimensions · no combined score or bullish/bearish verdict
Other evidence and availability
Valuation data: unavailable; shown as zero placeholder.
Attention data: unavailable; shown as zero placeholder.
Actual fund flows: unavailable. No ETF, mutual-fund or institutional flow feed is connected.
Volume / turnover: unavailable in this dataset.
Follow the contribution to individual companies
Sorted by absolute 12-month weight contribution, not investment merit
| Company | Sub-industry | Country | Universe weight | 12M contribution | 12M price return | Revisions |
|---|---|---|---|---|---|---|
| eBay Inc. → EBAY | Broadline Retail | United States | 0.186% | -0.033 pp | +9.8% | 0.0 |
| Amazon → AMZN | Broadline Retail | United States | 0.251% | +0.001 pp | +11.4% | 0.0 |
Underlying monthly industry observations
| Month | Weight | 1M change | 3M change | 6M change | 12M change | Relative return · 12M |
|---|---|---|---|---|---|---|
| Jun 2019 | 0.437% | +0.000 pp | -0.010 pp | +0.209 pp | -0.032 pp | +4.1% |
| May 2019 | 0.437% | -0.016 pp | +0.006 pp | +0.204 pp | -0.031 pp | +3.6% |
| Apr 2019 | 0.452% | +0.006 pp | +0.212 pp | +0.225 pp | -0.012 pp | +6.5% |
| Mar 2019 | 0.446% | +0.016 pp | +0.219 pp | +0.187 pp | -0.018 pp | +3.7% |
| Feb 2019 | 0.430% | +0.190 pp | +0.198 pp | +0.161 pp | -0.049 pp | -3.2% |
| Jan 2019 | 0.240% | +0.012 pp | +0.013 pp | -0.206 pp | -0.201 pp | +7.0% |
| Dec 2018 | 0.228% | -0.005 pp | -0.032 pp | -0.241 pp | -0.213 pp | -1.0% |
| Nov 2018 | 0.233% | +0.006 pp | -0.036 pp | -0.235 pp | -0.208 pp | +1.0% |
| Oct 2018 | 0.227% | -0.033 pp | -0.219 pp | -0.238 pp | -0.214 pp | -1.9% |
| Sep 2018 | 0.260% | -0.009 pp | -0.209 pp | -0.205 pp | -0.181 pp | +9.4% |
| Aug 2018 | 0.269% | -0.177 pp | -0.198 pp | -0.210 pp | -0.172 pp | +12.5% |
| Jul 2018 | 0.446% | -0.023 pp | -0.019 pp | +0.005 pp | +0.005 pp | +3.9% |
| Jun 2018 | 0.469% | +0.001 pp | +0.004 pp | +0.028 pp | +0.028 pp | +8.4% |
| May 2018 | 0.467% | +0.003 pp | -0.012 pp | +0.026 pp | +0.026 pp | +7.4% |
| Apr 2018 | 0.465% | +0.000 pp | +0.024 pp | +0.024 pp | +0.024 pp | +5.9% |
| Mar 2018 | 0.465% | -0.015 pp | +0.024 pp | +0.024 pp | +0.024 pp | +5.7% |
| Feb 2018 | 0.479% | +0.038 pp | +0.038 pp | +0.038 pp | +0.038 pp | +9.9% |
| Jan 2018 | 0.441% | +0.000 pp | +0.000 pp | +0.000 pp | +0.000 pp | +0.0% |
How are these descriptive states defined?
Gaining / losing: 12-month weight change above +0.005pp / below −0.005pp. Direction and speed are separate dimensions, not mutually exclusive recommendations.
Accelerating / slowing: compare the most recent 3M change with the preceding 3M change. Accelerating means a positive change speeds up by >0.02pp. Slowing means the magnitude of movement declines by >0.02pp. A falling industry can also slow.
Reversing: the last two 3M changes have opposite signs, outside a ±0.005pp tolerance. Persistence counts consecutive same-direction monthly changes.
Broad / concentrated: company attribution, not a market-cap concentration shortcut. Concentrated means the three largest same-direction contributors account for ≥70% of gross same-direction changes; otherwise broad requires ≥60% of constituents moving with the industry. Other cases are mixed.
Weights use matched S&P 500 members’ market-cap estimates, based on SEC-reported shares available by each month-end and monthly closing prices. Companies without a matched price or share record are omitted, so the denominator is the matched sample rather than every index member. These are not official float-adjusted S&P weights. Flow is not measured.