Quinstreet (QNST) Receivables (2011 - 2026)
Quinstreet's Receivables came in at $181.23 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 33.4% from $135.8 million a year earlier but down 1.9% from the prior quarter.
Quinstreet (QNST) Receivables (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, Quinstreet's Receivables data covers 61 quarters.
- Receivables has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 15.6% (FY2021 to FY2026).
- Going back by fiscal year, Receivables was $135.8 million in FY2025 (+21.5%), $111.79 million in FY2024 (+65.0%), $67.75 million in FY2023 (-16.8%) and $81.43 million in FY2022 (-7.4%).
- The five-year range for quarterly Receivables is $64.18 million (fiscal Q2 2022) to $184.78 million (fiscal Q3 2026).
- Year-over-year, Receivables has increased for three consecutive quarters, with growth averaging 46.6% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in fiscal Q1 2025 (growth of 156.9%), and the weakest in fiscal Q4 2023 (a decline of 16.8%).
- Business Quant data shows QNST's Receivables at $184.78 million (Q3 2026), $152.39 million (Q2 2026) and $149.98 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 69.18 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 21.75 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 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 | 466.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 4.30 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 4.34 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 | 906.64 Mn |
| 10 | Quinstreet | 847.98 Mn | 409.37 Mn | 49.81 Mn | 181.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 181.23 Mn |
| Mar 31, 2026 | 184.78 Mn |
| Dec 31, 2025 | 152.39 Mn |
| Sep 30, 2025 | 149.98 Mn |
| Jun 30, 2025 | 135.80 Mn |
| Mar 31, 2025 | 137.24 Mn |
| Dec 31, 2024 | 150.36 Mn |
| Sep 30, 2024 | 173.90 Mn |
| Jun 30, 2024 | 111.79 Mn |
| Mar 31, 2024 | 99.64 Mn |
| Dec 31, 2023 | 74.73 Mn |
| Sep 30, 2023 | 67.68 Mn |
| Jun 30, 2023 | 67.75 Mn |
| Mar 31, 2023 | 105.61 Mn |
| Dec 31, 2022 | 71.41 Mn |
| Sep 30, 2022 | 75.49 Mn |
| Jun 30, 2022 | 81.43 Mn |
| Mar 31, 2022 | 77.78 Mn |
| Dec 31, 2021 | 64.18 Mn |
| Sep 30, 2021 | 88.42 Mn |
Quinstreet Receivables 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=receivables&ticker=QNST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=QNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();