Millerknoll (MLKN) Other Accumulated Expenses (2010 - 2026)
Millerknoll (MLKN) recorded Other Accumulated Expenses of $126.2 million in fiscal Q1 2027 (quarter ended Aug 29, 2026), down 0.3% from $126.6 million a year earlier and down 6.3% from the prior quarter.
Millerknoll (MLKN) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 30, 2026), Millerknoll reported Other Accumulated Expenses of $134.7 million, up 1.5% from FY2025.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 5.5% (FY2021 to FY2026).
- Across earlier fiscal years, Other Accumulated Expenses came in at $132.7 million in FY2025 (+7.6%), $123.3 million in FY2024 (-15.8%), $146.5 million in FY2023 (+4.3%) and $140.4 million in FY2022 (+35.9%).
- Quarterly Other Accumulated Expenses has ranged from $117.9 million in fiscal Q3 2024 to $157.6 million in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses rose in five of the last eight quarters, with growth averaging 1.3%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 35.9% in fiscal Q4 2022, against a decline of 15.8% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $134.7 million (Q4 2026), $122 million (Q3 2026) and $134.9 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.73 Bn | 23.40 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.04 Bn | 12.59 Bn | 817.20 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.30 Bn | 1.46 Bn | 812.00 Mn |
| 5 | Sonos | 2.09 Bn | 992.71 Mn | 189.31 Mn |
| 6 | Whirlpool | 1.97 Bn | -1.51 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.49 Bn | 1.04 Bn | 104.29 Mn |
| 8 | Arhaus | 1.45 Bn | 529.52 Mn | 172.07 Mn |
| 9 | Millerknoll | 1.39 Bn | 754.60 Mn | 385.30 Mn |
| 10 | Cricut | 1.37 Bn | 340.40 Mn | 116.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 126.20 Mn |
| May 30, 2026 | 134.70 Mn |
| Feb 28, 2026 | 122.00 Mn |
| Nov 29, 2025 | 134.90 Mn |
| Aug 30, 2025 | 126.60 Mn |
| May 31, 2025 | 132.70 Mn |
| Mar 1, 2025 | 124.20 Mn |
| Nov 30, 2024 | 141.90 Mn |
| Aug 31, 2024 | 123.70 Mn |
| Jun 1, 2024 | 123.30 Mn |
| Mar 2, 2024 | 117.90 Mn |
| Dec 2, 2023 | 140.70 Mn |
| Sep 2, 2023 | 134.40 Mn |
| Jun 3, 2023 | 146.50 Mn |
| Mar 4, 2023 | 139.70 Mn |
| Dec 3, 2022 | 157.60 Mn |
| Sep 3, 2022 | 132.30 Mn |
| May 28, 2022 | 140.40 Mn |
| Feb 26, 2022 | 136.40 Mn |
| Nov 27, 2021 | 146.90 Mn |
Millerknoll Other Accumulated Expenses 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=other-accumulated-expenses&ticker=MLKN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=MLKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();