Quinstreet (QNST) Cash & Equivalents (2010 - 2026)
Quinstreet's Cash & Equivalents was $128.32 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 26.9% from $101.08 million a year earlier and up 25.7% from the prior quarter.
Quinstreet (QNST) Cash & Equivalents (2010 - 2026) Analysis & Trends
From fiscal Q1 2011 onward, Quinstreet has reported Cash & Equivalents for 64 quarters.
- Cash & Equivalents shows a five-year compound annual growth rate of 3.1% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $101.08 million in FY2025 (+100.2%), $50.49 million in FY2024 (-31.5%), $73.68 million in FY2023 (-23.6%) and $96.44 million in FY2022 (-12.6%).
- The fiscal Q4 2026 figure marks the highest quarterly Cash & Equivalents since fiscal Q4 2011.
- Compared with a year earlier, Cash & Equivalents has increased for seven straight quarters, with growth averaging 77.5% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q1 2026 (growth of 305.5%); the worst was fiscal Q1 2025 (a decline of 55.6%).
- Per Business Quant data, QNST's Cash & Equivalents in the three fiscal quarters before Q4 2026 was $102.04 million (Q3 2026), $106.96 million (Q2 2026) and $101.3 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,893.85 Bn | 3,651.37 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,633.93 Bn | 1,336.45 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 271.96 Bn | 233.26 Bn | 6.80 Bn | 8.19 Bn |
| 4 | Alibaba Group Holding | 231.45 Bn | 45.22 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 218.36 Bn | 195.54 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 135.44 Bn | 107.24 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 119.78 Bn | 52.83 Bn | - | 17.21 Bn |
| 8 | Spotify Technology | 119.39 Bn | 76.31 Bn | 1.89 Bn | 6.84 Bn |
| 9 | PDD Holdings | 110.49 Bn | -133.29 Bn | 9.45 Bn | 19.00 Bn |
| 10 | Quinstreet | 942.28 Mn | 503.66 Mn | 49.81 Mn | 128.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 128.32 Mn |
| Mar 31, 2026 | 102.04 Mn |
| Dec 31, 2025 | 106.96 Mn |
| Sep 30, 2025 | 101.30 Mn |
| Jun 30, 2025 | 101.08 Mn |
| Mar 31, 2025 | 81.82 Mn |
| Dec 31, 2024 | 57.84 Mn |
| Sep 30, 2024 | 24.98 Mn |
| Jun 30, 2024 | 50.49 Mn |
| Mar 31, 2024 | 39.60 Mn |
| Dec 31, 2023 | 45.52 Mn |
| Sep 30, 2023 | 56.31 Mn |
| Jun 30, 2023 | 73.68 Mn |
| Mar 31, 2023 | 62.96 Mn |
| Dec 31, 2022 | 79.10 Mn |
| Sep 30, 2022 | 88.38 Mn |
| Jun 30, 2022 | 96.44 Mn |
| Mar 31, 2022 | 109.46 Mn |
| Dec 31, 2021 | 115.04 Mn |
| Sep 30, 2021 | 105.93 Mn |
Quinstreet Cash & Equivalents 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=cash-and-equivalents&ticker=QNST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=QNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();