Quinstreet (QNST) Change in Accured Expenses (2010 - 2026)
Quinstreet's Change in Accured Expenses came in at -$9.07 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with $366,000 a year earlier.
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Analysis
Quinstreet (QNST) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Quinstreet's Change in Accured Expenses was $21.3 million, up 15.1% from FY2025.
- Change in Accured Expenses carries a five-year compound annual growth rate of 15.0% (FY2021 to FY2026).
- Going back by fiscal year, Change in Accured Expenses was $18.5 million in FY2025 (-27.0%), $25.35 million in FY2024, -$7.45 million in FY2023 and -$4.72 million in FY2022.
- The fiscal Q4 2026 figure represents the lowest quarterly Change in Accured Expenses since fiscal Q4 2023.
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with an average decline of 18.2%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q4 2022 (growth of 308.1%), and the weakest in fiscal Q4 2025 (a decline of 96.4%).
- Business Quant data shows QNST's Change in Accured Expenses at $20.03 million (Q3 2026), $8.27 million (Q2 2026) and $2.07 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,893.85 Bn | 3,651.37 Bn | 73.85 Bn | 6.31 Bn |
| 2 | Meta Platforms | 1,633.93 Bn | 1,336.45 Bn | 49.47 Bn | 5.93 Bn |
| 3 | Netflix | 271.96 Bn | 233.26 Bn | 6.80 Bn | 85.51 Mn |
| 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 | 447.00 Mn |
| 7 | Booking Holdings | 119.78 Bn | 52.83 Bn | - | 2.38 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 | -9.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9.07 Mn |
| Mar 31, 2026 | 20.03 Mn |
| Dec 31, 2025 | 8.27 Mn |
| Sep 30, 2025 | 2.07 Mn |
| Jun 30, 2025 | 366,000.00 |
| Mar 31, 2025 | -4.35 Mn |
| Dec 31, 2024 | 4.86 Mn |
| Sep 30, 2024 | 17.63 Mn |
| Jun 30, 2024 | 10.29 Mn |
| Mar 31, 2024 | 14.17 Mn |
| Dec 31, 2023 | 3.43 Mn |
| Sep 30, 2023 | -2.53 Mn |
| Jun 30, 2023 | -18.37 Mn |
| Mar 31, 2023 | 16.47 Mn |
| Dec 31, 2022 | -3.95 Mn |
| Sep 30, 2022 | -1.59 Mn |
| Jun 30, 2022 | 3.46 Mn |
| Mar 31, 2022 | 7.33 Mn |
| Dec 31, 2021 | -6.55 Mn |
| Sep 30, 2021 | -8.97 Mn |
API Access
Quinstreet Change in Accured 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=change-in-accured-expenses&ticker=QNST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=QNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();