Millerknoll (MLKN) Non Operating Interest Expenses (2009 - 2026)
Millerknoll (MLKN) reported Non Operating Interest Expenses of $16.2 million for fiscal Q1 2027 (quarter ended Aug 29, 2026), down 12.0% from $18.4 million a year earlier and down 1.2% from the prior quarter.
Millerknoll (MLKN) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 29, 2026, Millerknoll's Non Operating Interest Expenses came in at $67.7 million, down 10.0% year-over-year; for FY2026 (ended May 30, 2026), it came in at $69.9 million, down 8.9% from FY2025.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 38.1% (FY2021 to FY2026).
- By fiscal year, Non Operating Interest Expenses came in at $76.7 million in FY2025 (+0.7%), $76.2 million in FY2024 (+3.0%), $74 million in FY2023 (+95.8%) and $37.8 million in FY2022 (+171.9%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Non Operating Interest Expenses since fiscal Q4 2022.
- Year over year, Non Operating Interest Expenses has now declined in each of the last six quarters, with an average decline of 6.0% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q4 2022 (growth of 316.1%); the low point was fiscal Q2 2026 (a decline of 12.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $16.4 million (Q4 2026), $17.2 million (Q3 2026) and $17.9 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.25 Bn | 25.92 Bn | 860.34 Mn | - |
| 2 | Somnigroup International | 13.85 Bn | 13.39 Bn | 817.20 Mn | 59.00 Mn |
| 3 | Hni | 3.46 Bn | 3.02 Bn | 647.20 Mn | - |
| 4 | Newell Brands | 2.43 Bn | 1.59 Bn | 812.00 Mn | - |
| 5 | Sonos | 2.11 Bn | 1.01 Bn | 189.31 Mn | 110,000.00 |
| 6 | Whirlpool | 1.88 Bn | -1.59 Bn | 442.00 Mn | 63.00 Mn |
| 7 | Arhaus | 1.63 Bn | 711.30 Mn | 172.07 Mn | - |
| 8 | Millerknoll | 1.49 Bn | 787.02 Mn | 385.30 Mn | 16.20 Mn |
| 9 | Corsair Gaming | 1.45 Bn | 981.55 Mn | 104.29 Mn | 1.67 Mn |
| 10 | Cricut | 1.34 Bn | 313.41 Mn | 116.41 Mn | 80,000.00 |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 16.20 Mn |
| May 30, 2026 | 16.40 Mn |
| Feb 28, 2026 | 17.20 Mn |
| Nov 29, 2025 | 17.90 Mn |
| Aug 30, 2025 | 18.40 Mn |
| May 31, 2025 | 17.30 Mn |
| Mar 1, 2025 | 19.10 Mn |
| Nov 30, 2024 | 20.40 Mn |
| Aug 31, 2024 | 19.90 Mn |
| Jun 1, 2024 | 18.80 Mn |
| Mar 2, 2024 | 18.40 Mn |
| Dec 2, 2023 | 19.80 Mn |
| Sep 2, 2023 | 19.20 Mn |
| Jun 3, 2023 | 19.90 Mn |
| Mar 4, 2023 | 19.10 Mn |
| Dec 3, 2022 | 18.30 Mn |
| Sep 3, 2022 | 16.70 Mn |
| May 28, 2022 | 12.90 Mn |
| Feb 26, 2022 | 10.20 Mn |
| Nov 27, 2021 | 9.20 Mn |
Millerknoll Non Operating Interest 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=non-operating-interest-expenses&ticker=MLKN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=MLKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();