Hni (HNI) Interest Expenses (2009 - 2019)
Hni's Interest Expenses came in at $7.15 million for FY2021.
Analysis
Hni (HNI) Interest Expenses (2009 - 2019) Analysis & Trends
Going back to FY2009, Hni's Interest Expenses data covers 11 years.
- Interest Expenses carries a five-year compound annual growth rate of 7.1% (FY2016 to FY2021).
- The FY2021 figure represents the lowest annual Interest Expenses since FY2017.
- Per Business Quant, earlier years put Interest Expenses at $8.63 million in FY2019 (-8.7%), $9.45 million in FY2018 (+55.4%) and $6.08 million in FY2017 (+19.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn | - |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn | 59.00 Mn |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn | - |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn | - |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn | 110,000.00 |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 63.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 1.67 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn | 16.20 Mn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn | - |
| 10 | Cricut | 1.34 Bn | 311.09 Mn | 116.41 Mn | 80,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 29, 2019 | 2.76 Mn |
| Mar 30, 2019 | 2.47 Mn |
| Dec 29, 2018 | 1.79 Mn |
| Sep 29, 2018 | 2.60 Mn |
| Jun 30, 2018 | 2.72 Mn |
| Mar 31, 2018 | 2.34 Mn |
| Dec 30, 2017 | 1.85 Mn |
| Sep 30, 2017 | 1.84 Mn |
| Jul 1, 2017 | 1.35 Mn |
| Apr 1, 2017 | 1.05 Mn |
| Dec 31, 2016 | 990,000.00 |
| Oct 1, 2016 | 1.09 Mn |
| Jul 2, 2016 | 1.13 Mn |
| Apr 2, 2016 | 1.87 Mn |
| Jan 2, 2016 | 541,000.00 |
| Oct 3, 2015 | 1.73 Mn |
| Jul 4, 2015 | 1.97 Mn |
| Apr 4, 2015 | 1.99 Mn |
| Sep 27, 2014 | 1.97 Mn |
| Jun 28, 2014 | 2.19 Mn |
API Access
Hni 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=interest-expenses&ticker=HNI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "HNI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=HNI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();