Quinstreet (QNST) Operating Expenses (2010 - 2026)
Quinstreet (QNST) posted Operating Expenses of $21.08 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 5.1% from $20.05 million a year earlier but down 8.7% from the prior quarter.
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Analysis
Quinstreet (QNST) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Quinstreet's Operating Expenses came in at $83.12 million, down 3.8% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 12.8% (FY2021 to FY2026).
- In prior fiscal years, Quinstreet's Operating Expenses was $86.39 million in FY2025 (+42.3%), $60.7 million in FY2024 (+6.9%), $56.8 million in FY2023 (+19.8%) and $47.41 million in FY2022 (+3.9%).
- Quarterly Operating Expenses has run from a low of $10.65 million in fiscal Q4 2022 to a high of $25.47 million in fiscal Q1 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 21.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q1 2025, with growth of 76.6%; the weakest was fiscal Q1 2026, with a decline of 31.6%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $23.08 million (Q3 2026), $21.54 million (Q2 2026) and $17.43 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Quinstreet | 847.98 Mn | 409.37 Mn | 49.81 Mn | 21.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.08 Mn |
| Mar 31, 2026 | 23.08 Mn |
| Dec 31, 2025 | 21.54 Mn |
| Sep 30, 2025 | 17.43 Mn |
| Jun 30, 2025 | 20.05 Mn |
| Mar 31, 2025 | 17.81 Mn |
| Dec 31, 2024 | 23.06 Mn |
| Sep 30, 2024 | 25.47 Mn |
| Jun 30, 2024 | 15.34 Mn |
| Mar 31, 2024 | 16.02 Mn |
| Dec 31, 2023 | 14.92 Mn |
| Sep 30, 2023 | 14.42 Mn |
| Jun 30, 2023 | 13.05 Mn |
| Mar 31, 2023 | 15.06 Mn |
| Dec 31, 2022 | 14.54 Mn |
| Sep 30, 2022 | 14.15 Mn |
| Jun 30, 2022 | 10.65 Mn |
| Mar 31, 2022 | 11.00 Mn |
| Dec 31, 2021 | 14.50 Mn |
| Sep 30, 2021 | 11.26 Mn |
API Access
Quinstreet Operating 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=operating-expenses&ticker=QNST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=QNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();