Quinstreet (QNST) Non Operating Interest Expenses (2010 - 2026)
Quinstreet (QNST) posted Non Operating Interest Expenses of $2.15 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with $84,000 a year earlier and up 2.4% from the prior quarter.
Quinstreet (QNST) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Quinstreet's Non Operating Interest Expenses came in at $4.39 million, up 998.3% from FY2025.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 27.7% (FY2021 to FY2026).
- In prior fiscal years, Quinstreet's Non Operating Interest Expenses was $400,000 in FY2025 (-41.2%), $680,000 in FY2024 (-13.9%), $790,000 in FY2023 (-26.5%) and $1.08 million in FY2022 (-17.1%).
- The fiscal Q4 2026 figure stands as the highest quarterly Non Operating Interest Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Non Operating Interest Expenses increased in two of the last six quarters, with an average decline of 31.8%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was fiscal Q3 2024, with growth of 56.7%; the weakest was fiscal Q3 2025, with a decline of 77.5%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior fiscal quarters was $2.1 million (Q3 2026), $70,000 (Q2 2026) and $68,000 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn | - |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn | 175.69 Mn |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn | -346.00 Mn |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn | - |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn | 127.00 Mn |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - | 300.00 Mn |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn | - |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn | -24.41 Mn |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn | - |
| 10 | Quinstreet | 842.90 Mn | 404.28 Mn | 49.81 Mn | 2.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.15 Mn |
| Mar 31, 2026 | 2.10 Mn |
| Dec 31, 2025 | 70,000.00 |
| Sep 30, 2025 | 68,000.00 |
| Jun 30, 2025 | 84,000.00 |
| Mar 31, 2025 | 66,000.00 |
| Dec 31, 2024 | 126,000.00 |
| Sep 30, 2024 | 124,000.00 |
| Jun 30, 2024 | 165,000.00 |
| Mar 31, 2024 | 293,000.00 |
| Dec 31, 2023 | 111,000.00 |
| Sep 30, 2023 | 111,000.00 |
| Jun 30, 2023 | 164,000.00 |
| Mar 31, 2023 | 187,000.00 |
| Dec 31, 2022 | 213,000.00 |
| Sep 30, 2022 | 226,000.00 |
| Jun 30, 2022 | 258,000.00 |
| Mar 31, 2022 | 277,000.00 |
| Dec 31, 2021 | 267,000.00 |
| Sep 30, 2021 | 273,000.00 |
Quinstreet 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=QNST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "QNST", "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=QNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();