Quinstreet (QNST) EBITDA (2010 - 2026)
Quinstreet (QNST) posted EBITDA of $27.66 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 184.2% from $9.73 million a year earlier and up 71.2% from the prior quarter.
Powered by 
Analysis
Quinstreet (QNST) EBITDA (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Quinstreet's EBITDA came in at $60.6 million, up 97.4% from FY2025.
- Annual EBITDA shows a five-year compound annual growth rate of 15.0% (FY2021 to FY2026).
- In prior fiscal years, Quinstreet's EBITDA was $30.7 million in FY2025, -$4.11 million in FY2024, -$1.66 million in FY2023 and $12.24 million in FY2022 (-59.4%).
- The fiscal Q4 2026 figure stands as the highest quarterly EBITDA in data going back to fiscal Q1 2011.
- On a year-over-year basis, EBITDA has increased in each of the last five quarters, with growth averaging 89.7% over the last five quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q4 2026, with growth of 184.2%; the weakest was fiscal Q4 2022, with a decline of 76.7%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $16.16 million (Q3 2026), $6.18 million (Q2 2026) and $10.6 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 4.29 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | - |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 495.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 2.63 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 348.71 Mn |
| 10 | Quinstreet | 847.98 Mn | 409.37 Mn | 49.81 Mn | 27.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.66 Mn |
| Mar 31, 2026 | 16.16 Mn |
| Dec 31, 2025 | 6.18 Mn |
| Sep 30, 2025 | 10.60 Mn |
| Jun 30, 2025 | 9.73 Mn |
| Mar 31, 2025 | 10.88 Mn |
| Dec 31, 2024 | 4.85 Mn |
| Sep 30, 2024 | 5.23 Mn |
| Jun 30, 2024 | 5.24 Mn |
| Mar 31, 2024 | 893,000.00 |
| Dec 31, 2023 | -5.68 Mn |
| Sep 30, 2023 | -4.56 Mn |
| Jun 30, 2023 | -187,000.00 |
| Mar 31, 2023 | 3.56 Mn |
| Dec 31, 2022 | -4.50 Mn |
| Sep 30, 2022 | -535,000.00 |
| Jun 30, 2022 | 2.14 Mn |
| Mar 31, 2022 | 5.31 Mn |
| Dec 31, 2021 | -3.34 Mn |
| Sep 30, 2021 | 8.14 Mn |
API Access
Quinstreet EBITDA 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=ebitda&ticker=QNST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=QNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();