Quinstreet (QNST) Accumulated Expenses (2011 - 2026)
Quinstreet (QNST) posted Accumulated Expenses of $124.99 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 43.3% from $87.23 million a year earlier but down 6.4% from the prior quarter.
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Analysis
Quinstreet (QNST) Accumulated Expenses (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Quinstreet has reported Accumulated Expenses for 61 quarters.
- Annual Accumulated Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 16.7% (FY2021 to FY2026).
- In prior fiscal years, Quinstreet's Accumulated Expenses was $87.23 million in FY2025 (+26.7%), $68.82 million in FY2024 (+56.3%), $44.02 million in FY2023 (-19.2%) and $54.46 million in FY2022 (-5.5%).
- Quarterly Accumulated Expenses has run from a low of $41.32 million in fiscal Q1 2024 to a high of $133.48 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last nine quarters, with growth averaging 49.6% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q1 2025, with growth of 109.6%; the weakest was fiscal Q4 2023, with a decline of 19.2%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $133.48 million (Q3 2026), $97.28 million (Q2 2026) and $89.5 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,890.87 Bn | 3,648.40 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,637.40 Bn | 1,339.92 Bn | 49.47 Bn |
| 3 | Netflix | 270.40 Bn | 231.70 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 231.40 Bn | 53.61 Bn | 15.11 Bn |
| 5 | Shopify | 218.48 Bn | 195.66 Bn | 1.71 Bn |
| 6 | Uber Technologies | 136.01 Bn | 107.99 Bn | 6.38 Bn |
| 7 | Spotify Technology | 120.19 Bn | 77.10 Bn | 1.89 Bn |
| 8 | Booking Holdings | 117.09 Bn | 50.14 Bn | - |
| 9 | PDD Holdings | 112.51 Bn | -131.27 Bn | 9.45 Bn |
| 10 | Quinstreet | 933.29 Mn | 494.67 Mn | 49.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 124.99 Mn |
| Mar 31, 2026 | 133.48 Mn |
| Dec 31, 2025 | 97.28 Mn |
| Sep 30, 2025 | 89.50 Mn |
| Jun 30, 2025 | 87.23 Mn |
| Mar 31, 2025 | 86.92 Mn |
| Dec 31, 2024 | 91.08 Mn |
| Sep 30, 2024 | 86.62 Mn |
| Jun 30, 2024 | 68.82 Mn |
| Mar 31, 2024 | 58.43 Mn |
| Dec 31, 2023 | 44.54 Mn |
| Sep 30, 2023 | 41.32 Mn |
| Jun 30, 2023 | 44.02 Mn |
| Mar 31, 2023 | 62.89 Mn |
| Dec 31, 2022 | 46.85 Mn |
| Sep 30, 2022 | 51.05 Mn |
| Jun 30, 2022 | 54.46 Mn |
| Mar 31, 2022 | 49.24 Mn |
| Dec 31, 2021 | 42.17 Mn |
| Sep 30, 2021 | 48.90 Mn |
API Access
Quinstreet Accumulated 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=accumulated-expenses&ticker=QNST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=QNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();