Quantum Computing (QUBT) Interest Expenses (2018 - 2026)
Quantum Computing (QUBT) recorded Interest Expenses of $12,000 in Q2 2026, down 79.3% from $58,000 a year earlier and down 93.0% from the prior quarter.
Quantum Computing (QUBT) Interest Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, Quantum Computing's Interest Expenses came in at $132,000 as of Jun 30, 2026, down 94.6% year-over-year; for FY2025, it was $65,000, down 97.4% from FY2024.
- Annual Interest Expenses has a five-year compound annual growth rate of -59.4% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $2.5 million in FY2024 (-15.2%), $2.94 million in FY2023 (+71.3%), $1.72 million in FY2022 (+965.9%) and $161,250 in FY2021 (-97.3%).
- Quarterly Interest Expenses has ranged from -$55,000 in Q4 2025 to $2.03 million in Q4 2024 over the past five years.
- On a year-over-year basis, Interest Expenses rose in two of the last six quarters, with an average decline of 4.2%.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 492.3% in Q2 2023, against a decline of 98.7% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $171,000 (Q1 2026), -$55,000 (Q4 2025) and $4,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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
| 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 | 1.26 Mn |
| Sep 30, 2023 | 519,001.00 |
| Jun 30, 2023 | 629,369.00 |
| Mar 31, 2023 | 534,759.00 |
| Dec 31, 2022 | 886,678.00 |
| Sep 30, 2022 | 513,320.00 |
| Jun 30, 2022 | 106,250.00 |
| Mar 31, 2022 | 212,500.00 |
| Dec 31, 2020 | 3.48 Mn |
| Sep 30, 2020 | 787,299.00 |
| Jun 30, 2020 | 1.62 Mn |
Quantum Computing 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=QUBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=QUBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();