Quinstreet (QNST) Other Accumulated Expenses (2018 - 2025)
Quinstreet (QNST) posted Other Accumulated Expenses of $9.28 million for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 30.0% from $13.26 million a year earlier but up 14.4% from the prior quarter.
Quinstreet (QNST) Other Accumulated Expenses (2018 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Quinstreet's Other Accumulated Expenses came in at $13.57 million, up 44.8% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- In prior fiscal years, Quinstreet's Other Accumulated Expenses was $9.37 million in FY2024 (+19.0%), $7.88 million in FY2023 (-36.3%), $12.37 million in FY2022 (-2.6%) and $12.7 million in FY2021 (+88.6%).
- Quarterly Other Accumulated Expenses has run from a low of $6.71 million in fiscal Q2 2024 to a high of $15.31 million in fiscal Q2 2022 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in six of the last eight quarters, with growth averaging 25.5%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q2 2025, with growth of 97.4%; the weakest was fiscal Q3 2023, with a decline of 43.6%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $8.11 million (Q1 2026), $13.57 million (Q4 2025) and $13.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,893.85 Bn | 3,651.37 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,633.93 Bn | 1,336.45 Bn | 49.47 Bn |
| 3 | Netflix | 271.96 Bn | 233.26 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 231.45 Bn | 45.22 Bn | 15.11 Bn |
| 5 | Shopify | 218.36 Bn | 195.54 Bn | 1.71 Bn |
| 6 | Uber Technologies | 135.44 Bn | 107.24 Bn | 6.38 Bn |
| 7 | Booking Holdings | 119.78 Bn | 52.83 Bn | - |
| 8 | Spotify Technology | 119.39 Bn | 76.31 Bn | 1.89 Bn |
| 9 | PDD Holdings | 110.49 Bn | -133.29 Bn | 9.45 Bn |
| 10 | Quinstreet | 942.28 Mn | 503.66 Mn | 49.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 9.28 Mn |
| Sep 30, 2025 | 8.11 Mn |
| Jun 30, 2025 | 13.57 Mn |
| Mar 31, 2025 | 13.94 Mn |
| Dec 31, 2024 | 13.26 Mn |
| Sep 30, 2024 | 10.87 Mn |
| Jun 30, 2024 | 9.37 Mn |
| Mar 31, 2024 | 9.88 Mn |
| Dec 31, 2023 | 6.71 Mn |
| Sep 30, 2023 | 7.65 Mn |
| Jun 30, 2023 | 7.88 Mn |
| Mar 31, 2023 | 8.62 Mn |
| Dec 31, 2022 | 11.48 Mn |
| Sep 30, 2022 | 12.36 Mn |
| Jun 30, 2022 | 12.37 Mn |
| Mar 31, 2022 | 15.28 Mn |
| Dec 31, 2021 | 15.31 Mn |
| Sep 30, 2021 | 13.17 Mn |
| Jun 30, 2021 | 12.70 Mn |
| Mar 31, 2021 | 15.14 Mn |
Quinstreet Other 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=other-accumulated-expenses&ticker=QNST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=QNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();