{
  "id": "retail/retailer/us_inventory_dio_quarterly",
  "generated_at": "2026-05-25T08:11:04.345848+00:00",
  "last_refresh": "2026-05-24",
  "source": "SEC EDGAR CompanyFacts, cleaned and materialized by Furnilytics. Company scope: Bassett Furniture Industries, Ethan Allen Interiors, Haverty Furniture Companies, HNI, Hooker Furnishings, La-Z-Boy, MillerKnoll, RH, Steelcase, and Williams-Sonoma.",
  "source_description": "Aggregate quarterly days inventory outstanding proxy for selected US-listed furniture and home furnishings companies. Values are calculated from aggregate inventory divided by aggregate quarterly cost of revenue, multiplied by 91.25 days, then smoothed with a centered moving average of up to three quarters. Each quarter uses companies in scope with usable SEC inventory and cost data. Company scope: Bassett Furniture Industries, Ethan Allen Interiors, Haverty Furniture Companies, HNI, Hooker Furnishings, La-Z-Boy, MillerKnoll, RH, Steelcase, and Williams-Sonoma.",
  "table_id": "retail/retailer/us_inventory_dio_quarterly",
  "meta": {
    "indicator_name": "US Furniture Inventory DIO",
    "indicator_description": "Quarterly days inventory outstanding indicator for selected US-listed furniture and home furnishings companies, designed as a proxy for general stock development in the US furniture market.",
    "title": "US Furniture Retailer Days Inventory Outstanding",
    "description": "Aggregate quarterly days inventory outstanding proxy for selected US-listed furniture and home furnishings companies. Values are calculated from aggregate inventory divided by aggregate quarterly cost of revenue, multiplied by 91.25 days, then smoothed with a centered moving average of up to three quarters. Each quarter uses companies in scope with usable SEC inventory and cost data. Company scope: Bassett Furniture Industries, Ethan Allen Interiors, Haverty Furniture Companies, HNI, Hooker Furnishings, La-Z-Boy, MillerKnoll, RH, Steelcase, and Williams-Sonoma.",
    "source": "SEC EDGAR CompanyFacts, cleaned and materialized by Furnilytics. Company scope: Bassett Furniture Industries, Ethan Allen Interiors, Haverty Furniture Companies, HNI, Hooker Furnishings, La-Z-Boy, MillerKnoll, RH, Steelcase, and Williams-Sonoma.",
    "source_description": "Aggregate quarterly days inventory outstanding proxy for selected US-listed furniture and home furnishings companies. Values are calculated from aggregate inventory divided by aggregate quarterly cost of revenue, multiplied by 91.25 days, then smoothed with a centered moving average of up to three quarters. Each quarter uses companies in scope with usable SEC inventory and cost data. Company scope: Bassett Furniture Industries, Ethan Allen Interiors, Haverty Furniture Companies, HNI, Hooker Furnishings, La-Z-Boy, MillerKnoll, RH, Steelcase, and Williams-Sonoma.",
    "visibility": "public",
    "updated_at": "2026-05-24T06:52:09.518736Z",
    "last_refresh": "2026-05-24",
    "table_id": "retail/retailer/us_inventory_dio_quarterly",
    "topic": "Retail",
    "subtopic": "Retailer",
    "geo": [
      "US"
    ],
    "geo_included": [
      "US"
    ],
    "page_slug": "us-furniture-inventory-dio",
    "page_url": "/indicators/retail/retailer/us-furniture-inventory-dio/",
    "chart_type": "line",
    "series_type": "single",
    "frequency": "quarterly",
    "units": "days",
    "legend": false,
    "featured_topic": false,
    "featured_subtopic": false,
    "featured_rank_topic": null,
    "featured_rank_subtopic": null,
    "chart_title": "US Furniture Inventory DIO",
    "y_axis_label": "Days",
    "related_indicators": [
      {
        "title": "US Furniture Retail Market Size",
        "url": "/indicators/retail/market-size/us-furniture-retail-turnover/",
        "label": "Market size"
      },
      {
        "title": "US Furniture Product Search Trend",
        "url": "/indicators/retail/online/us-furniture-products-search-trend/",
        "label": "Online"
      },
      {
        "title": "US Housing Market Activity",
        "url": "/indicators/macroeconomics/housing/us-housing-market-activity/",
        "label": "Housing"
      }
    ],
    "data_hash": "6f1e74fde5a51f11e5d6bf82ba8e559fa54778ddd4e1684d3027622cf4b68ffb",
    "trend_summary": "In 2026-03-31, the indicator reached 92.4 Days, compared with 48 Days in 2018-06-30. The latest year changed by 10.6 Days from 2025-12-31, while the full-period change was 44.4 Days. Across the available history, the range runs from 45.1 in 2020-12-31 to 92.4 in 2026-03-31. The latest observation is the high point in the available series, which points to a comparatively strong recent reading.",
    "trend_summary_generated_at": "2026-05-25T08:11:04.346249+00:00",
    "trend_summary_source": "fallback",
    "key_findings": [
      "Inventory days are increasing, which points to weaker sell-through and a higher risk of overstocking across the selected US furniture universe.",
      "The latest value is 92.4 days in 2026-03-31, compared with 81.8 days in 2025-12-31 and 48 days in 2018-06-30.",
      "Over the full period, inventory days are 44.4 days higher, so the indicator should be read as a directional stock-cycle proxy rather than a full measure of all US furniture inventory."
    ],
    "key_findings_source": "dio_inventory_rule"
  },
  "data": [
    {
      "quarter": "2018Q2",
      "date": "2018-06-30",
      "value": 47.96970765824122
    },
    {
      "quarter": "2018Q3",
      "date": "2018-09-30",
      "value": 47.4388738115577
    },
    {
      "quarter": "2018Q4",
      "date": "2018-12-31",
      "value": 47.90252290307064
    },
    {
      "quarter": "2019Q1",
      "date": "2019-03-31",
      "value": 49.876141316529335
    },
    {
      "quarter": "2019Q2",
      "date": "2019-06-30",
      "value": 49.89192132554977
    },
    {
      "quarter": "2019Q3",
      "date": "2019-09-30",
      "value": 48.508885327969146
    },
    {
      "quarter": "2019Q4",
      "date": "2019-12-31",
      "value": 48.43679548636226
    },
    {
      "quarter": "2020Q1",
      "date": "2020-03-31",
      "value": 56.41577665945547
    },
    {
      "quarter": "2020Q2",
      "date": "2020-06-30",
      "value": 56.692075036209125
    },
    {
      "quarter": "2020Q3",
      "date": "2020-09-30",
      "value": 54.38919078833229
    },
    {
      "quarter": "2020Q4",
      "date": "2020-12-31",
      "value": 45.075037944912644
    },
    {
      "quarter": "2021Q1",
      "date": "2021-03-31",
      "value": 48.08240249043845
    },
    {
      "quarter": "2021Q2",
      "date": "2021-06-30",
      "value": 54.326715332765275
    },
    {
      "quarter": "2021Q3",
      "date": "2021-09-30",
      "value": 59.704515371945206
    },
    {
      "quarter": "2021Q4",
      "date": "2021-12-31",
      "value": 61.50166520001192
    },
    {
      "quarter": "2022Q1",
      "date": "2022-03-31",
      "value": 63.76008541258236
    },
    {
      "quarter": "2022Q2",
      "date": "2022-06-30",
      "value": 70.93290923008361
    },
    {
      "quarter": "2022Q3",
      "date": "2022-09-30",
      "value": 73.61605635726616
    },
    {
      "quarter": "2022Q4",
      "date": "2022-12-31",
      "value": 72.65474082638654
    },
    {
      "quarter": "2023Q1",
      "date": "2023-03-31",
      "value": 67.26346340946412
    },
    {
      "quarter": "2023Q2",
      "date": "2023-06-30",
      "value": 64.91613433244902
    },
    {
      "quarter": "2023Q3",
      "date": "2023-09-30",
      "value": 62.12856454810322
    },
    {
      "quarter": "2023Q4",
      "date": "2023-12-31",
      "value": 61.4752738957313
    },
    {
      "quarter": "2024Q1",
      "date": "2024-03-31",
      "value": 62.036996344839224
    },
    {
      "quarter": "2024Q2",
      "date": "2024-06-30",
      "value": 62.07524334994715
    },
    {
      "quarter": "2024Q3",
      "date": "2024-09-30",
      "value": 60.014257330611024
    },
    {
      "quarter": "2024Q4",
      "date": "2024-12-31",
      "value": 58.43069069322962
    },
    {
      "quarter": "2025Q1",
      "date": "2025-03-31",
      "value": 59.77330798932133
    },
    {
      "quarter": "2025Q2",
      "date": "2025-06-30",
      "value": 61.40948144243273
    },
    {
      "quarter": "2025Q3",
      "date": "2025-09-30",
      "value": 68.73256764843542
    },
    {
      "quarter": "2025Q4",
      "date": "2025-12-31",
      "value": 81.82867098347623
    },
    {
      "quarter": "2026Q1",
      "date": "2026-03-31",
      "value": 92.4116260763349
    }
  ]
}