Millerknoll (MLKN) Inventory (2010 - 2026)
Millerknoll (MLKN) reported Inventory of $488.4 million for fiscal Q4 2026 (quarter ended May 30, 2026), up 9.1% from $447.5 million a year earlier but down 0.7% from the prior quarter.
Powered by 
Analysis
Millerknoll (MLKN) Inventory (2010 - 2026) Analysis & Trends
Dating back to fiscal Q4 2010, Millerknoll's Inventory record includes 65 quarters.
- Inventory has a five-year compound annual growth rate of 16.4% (FY2021 to FY2026).
- By fiscal year, Inventory came in at $447.5 million in FY2025 (+4.4%), $428.6 million in FY2024 (-12.1%), $487.4 million in FY2023 (-17.0%) and $587.3 million in FY2022 (+156.9%).
- Five-year quarterly Inventory spans a low of $425.5 million in fiscal Q3 2025 and a high of $615.5 million in fiscal Q1 2023.
- Year over year, Inventory has now increased in each of the last five quarters, with growth averaging 4.0% over the last eight quarters.
- The high point for year-over-year Inventory in five years was fiscal Q3 2022 (growth of 159.1%); the low point was fiscal Q2 2024 (a decline of 23.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $491.8 million (Q3 2026), $477.8 million (Q2 2026) and $465.8 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn | 1.14 Bn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn | 649.80 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 498.80 Mn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn | 1.49 Bn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn | 158.14 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn | 2.22 Bn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 264.53 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn | 488.40 Mn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn | 353.53 Mn |
| 10 | Cricut | 1.33 Bn | 300.62 Mn | 116.41 Mn | 105.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 488.40 Mn |
| Feb 28, 2026 | 491.80 Mn |
| Nov 29, 2025 | 477.80 Mn |
| Aug 30, 2025 | 465.80 Mn |
| May 31, 2025 | 447.50 Mn |
| Mar 1, 2025 | 425.50 Mn |
| Nov 30, 2024 | 430.60 Mn |
| Aug 31, 2024 | 440.50 Mn |
| Jun 1, 2024 | 428.60 Mn |
| Mar 2, 2024 | 437.40 Mn |
| Dec 2, 2023 | 448.20 Mn |
| Sep 2, 2023 | 473.20 Mn |
| Jun 3, 2023 | 487.40 Mn |
| Mar 4, 2023 | 539.60 Mn |
| Dec 3, 2022 | 587.10 Mn |
| Sep 3, 2022 | 615.50 Mn |
| May 28, 2022 | 587.30 Mn |
| Feb 26, 2022 | 520.80 Mn |
| Nov 27, 2021 | 482.90 Mn |
| Aug 28, 2021 | 446.20 Mn |
API Access
Millerknoll Inventory 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=inventory&ticker=MLKN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "MLKN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=MLKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();