Millerknoll (MLKN) Net Short-Term Debt Issued (Repaid) (2017 - 2026)
Millerknoll (MLKN) recorded Current Debt of $100,000 in fiscal Q3 2019 (quarter ended Mar 2, 2019), compared with -$400,000 a year earlier.
Analysis
Millerknoll (MLKN) Net Short-Term Debt Issued (Repaid) (2017 - 2026) Analysis & Trends
Starting with fiscal Q1 2018, Millerknoll's Current Debt history includes 4 quarters.
- The fiscal Q3 2019 figure is the highest quarterly Current Debt since fiscal Q1 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net ST Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 32.44 Bn | 29.88 Bn | 1.17 Bn | - |
| 2 | Somnigroup International | 13.98 Bn | 13.53 Bn | 817.20 Mn | -752.50 Mn |
| 3 | Hni | 3.60 Bn | 3.09 Bn | 678.50 Mn | - |
| 4 | Newell Brands | 2.50 Bn | 1.64 Bn | 649.00 Mn | -470.00 Mn |
| 5 | Arhaus | 2.12 Bn | 1.20 Bn | 172.07 Mn | - |
| 6 | Whirlpool | 2.08 Bn | -1.56 Bn | 473.00 Mn | -2.00 Mn |
| 7 | Sonos | 2.02 Bn | 923.03 Mn | 189.31 Mn | - |
| 8 | Cricut | 1.84 Bn | 747.57 Mn | 108.88 Mn | - |
| 9 | Millerknoll | 1.55 Bn | 845.23 Mn | 385.30 Mn | 270.80 Mn |
| 10 | Corsair Gaming | 1.33 Bn | 787.32 Mn | 97.83 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 270.80 Mn |
| May 30, 2026 | 228.30 Mn |
| Feb 28, 2026 | 192.20 Mn |
| Nov 29, 2025 | 275.20 Mn |
| Aug 30, 2025 | 341.60 Mn |
| May 31, 2025 | 399.30 Mn |
| Mar 1, 2025 | 215.90 Mn |
| Nov 30, 2024 | 248.90 Mn |
| Aug 31, 2024 | 237.70 Mn |
| Jun 1, 2024 | 213.10 Mn |
| Mar 2, 2024 | 234.00 Mn |
| Dec 2, 2023 | 233.00 Mn |
| Sep 2, 2023 | 153.10 Mn |
| Jun 3, 2023 | 209.70 Mn |
| Mar 4, 2023 | 160.90 Mn |
| Dec 3, 2022 | 157.90 Mn |
| Sep 3, 2022 | 401.40 Mn |
| May 28, 2022 | 210.80 Mn |
| Feb 26, 2022 | 228.20 Mn |
| Nov 27, 2021 | 220.90 Mn |
API Access
Millerknoll Net Short-Term Debt Issued (Repaid) 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=current-debt&ticker=MLKN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=MLKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();