Millerknoll (MLKN) Depreciation and Depletion (2025 - 2026)
Millerknoll (MLKN) posted Depreciation and Depletion of $107 million for fiscal Q4 2026 (quarter ended May 30, 2026).
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Analysis
Millerknoll (MLKN) Depreciation and Depletion (2025 - 2026) Analysis & Trends
For FY2026 (ended May 30, 2026), Millerknoll's Depreciation and Depletion came in at $110.3 million, up 7.5% from FY2025.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 8.9% (FY2021 to FY2026).
- In prior fiscal years, Millerknoll's Depreciation and Depletion was $102.6 million in FY2025 (-12.7%), $117.5 million in FY2024 (+1.9%), $115.3 million in FY2023 (+2.9%) and $112 million in FY2022 (+55.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.34 Bn | 23.01 Bn | 860.34 Mn | - |
| 2 | Somnigroup International | 13.21 Bn | 12.76 Bn | 817.20 Mn | - |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | - |
| 4 | Newell Brands | 2.26 Bn | 1.42 Bn | 812.00 Mn | 47.00 Mn |
| 5 | Sonos | 2.10 Bn | 998.62 Mn | 189.31 Mn | - |
| 6 | Whirlpool | 1.98 Bn | -1.50 Bn | 442.00 Mn | - |
| 7 | Corsair Gaming | 1.50 Bn | 1.04 Bn | 104.29 Mn | 3.65 Mn |
| 8 | Arhaus | 1.40 Bn | 477.18 Mn | 172.07 Mn | - |
| 9 | Millerknoll | 1.39 Bn | 748.41 Mn | 385.30 Mn | - |
| 10 | Cricut | 1.36 Bn | 338.30 Mn | 116.41 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 107.00 Mn |
| Feb 28, 2026 | 1.60 Mn |
| Nov 29, 2025 | 1.20 Mn |
API Access
Millerknoll Depreciation and Depletion 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=depreciation-and-depletion&ticker=MLKN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=MLKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();