Quantum Computing (QUBT) Non Operating Interest Expenses (2018 - 2026)
Quantum Computing (QUBT) reported Non Operating Interest Expenses of $12,000 for Q2 2026, down 79.3% from $58,000 a year earlier and down 93.0% from the prior quarter.
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Analysis
Quantum Computing (QUBT) Non Operating Interest Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Quantum Computing's Non Operating Interest Expenses came in at $132,000, down 94.6% year-over-year; for FY2025, it came in at $65,000, down 97.4% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -22.1% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $2.5 million in FY2024 (+55.8%), $1.6 million in FY2023 (+107.5%) and $772,000 in FY2022.
- Five-year quarterly Non Operating Interest Expenses spans a low of -$55,000 in Q4 2025 and a high of $2.03 million in Q4 2024.
- Year over year, Non Operating Interest Expenses gained in three of the last six quarters, with growth averaging 30.5%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q3 2023 (growth of 601.0%); the low point was Q3 2025 (a decline of 98.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $171,000 (Q1 2026), -$55,000 (Q4 2025) and $4,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | -19.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 28.10 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 924,000.00 |
| 10 | Quantum Computing | 1.45 Bn | -2.17 Bn | -1.17 Mn | 12,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12,000.00 |
| Mar 31, 2026 | 171,000.00 |
| Dec 31, 2025 | -55,000.00 |
| Sep 30, 2025 | 4,000.00 |
| Jun 30, 2025 | 58,000.00 |
| Mar 31, 2025 | 58,000.00 |
| Dec 31, 2024 | 2.03 Mn |
| Sep 30, 2024 | 307,000.00 |
| Mar 31, 2024 | 155,000.00 |
| Dec 31, 2023 | 1.07 Mn |
| Sep 30, 2023 | 128,419.00 |
| Jun 30, 2023 | 185,623.00 |
| Mar 31, 2023 | 214,523.00 |
| Dec 31, 2022 | 753,680.00 |
| Sep 30, 2022 | 18,320.00 |
| Dec 31, 2020 | 29,243.00 |
| Sep 30, 2020 | 27,799.00 |
| Jun 30, 2020 | 143,013.00 |
| Mar 31, 2020 | 26,644.00 |
| Dec 31, 2019 | 26,028.00 |
API Access
Quantum Computing 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=QUBT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "QUBT", "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=QUBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();