Smartbird (BIRD) Non Operating Interest Expenses (2020 - 2026)
Smartbird (BIRD) recorded Non Operating Interest Expenses of $1.46 million in Q2 2026.
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Analysis
Smartbird (BIRD) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Smartbird's Non Operating Interest Expenses came in at $1.53 million as of Jun 30, 2026; for FY2021, it came in at $178,000, down 40.1% from FY2020.
- Across earlier years, Non Operating Interest Expenses came in at $297,000 in FY2020 (+209.4%) and $96,000 in FY2019.
- The Q2 2026 figure is the highest quarterly Non Operating Interest Expenses in data going back to Q3 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | - |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 13.00 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 12.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 69.29 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | -49.99 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 19.91 Mn |
| 10 | Smartbird | 30.82 Mn | -71.35 Mn | - | 1.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.46 Mn |
| Sep 30, 2022 | 35,000.00 |
| Jun 30, 2022 | 35,000.00 |
| Mar 31, 2022 | 37,000.00 |
| Dec 31, 2021 | 37,000.00 |
| Sep 30, 2021 | 53,000.00 |
| Jun 30, 2021 | 36,000.00 |
| Mar 31, 2021 | 51,000.00 |
| Dec 31, 2020 | -32,000.00 |
| Sep 30, 2020 | 113,000.00 |
API Access
Smartbird 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=BIRD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "BIRD", "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=BIRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();