DarioHealth (DRIO) Non Operating Interest Expenses (2022 - 2026)
DarioHealth's Non Operating Interest Expenses was $1.12 million in Q2 2026, down 2.3% from the prior quarter.
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Analysis
DarioHealth (DRIO) Non Operating Interest Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, DarioHealth's Non Operating Interest Expenses was $4.53 million through Jun 30, 2026; for FY2025, it was $3.02 million.
- Quarterly Non Operating Interest Expenses has moved between $788,000 (Q3 2022) and $1.16 million (Q3 2025) over five years.
- Per Business Quant data, DRIO's Non Operating Interest Expenses in the three quarters before Q2 2026 was $1.15 million (Q1 2026), $1.1 million (Q4 2025) and $1.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn | - |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | - |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn | - |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn | 15.80 Mn |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn | 20.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | - |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn | - |
| 10 | DarioHealth | 57.56 Mn | -34.56 Mn | 3.19 Mn | 1.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.12 Mn |
| Mar 31, 2026 | 1.15 Mn |
| Dec 31, 2025 | 1.10 Mn |
| Sep 30, 2025 | 1.16 Mn |
| Sep 30, 2022 | 788,000.00 |
API Access
DarioHealth 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=DRIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "DRIO", "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=DRIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();