Quinstreet (QNST) Research & Development (2010 - 2026)
Quinstreet (QNST) posted Research & Development of $10.61 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 37.9% from $7.69 million a year earlier and up 3.8% from the prior quarter.
Quinstreet (QNST) Research & Development (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Quinstreet's Research & Development came in at $37.3 million, up 10.1% from FY2025.
- Annual Research & Development has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 14.0% (FY2021 to FY2026).
- In prior fiscal years, Quinstreet's Research & Development was $33.87 million in FY2025 (+12.7%), $30.05 million in FY2024 (+4.0%), $28.89 million in FY2023 (+31.9%) and $21.91 million in FY2022 (+13.2%).
- The fiscal Q4 2026 figure stands as the highest quarterly Research & Development in data going back to fiscal Q1 2011.
- On a year-over-year basis, Research & Development increased in six of the last eight quarters, with growth averaging 11.8%.
- The strongest year-over-year quarter for Research & Development in the past five years was fiscal Q4 2022, with growth of 51.3%; the weakest was fiscal Q1 2022, with a decline of 5.4%.
- According to Business Quant data, Research & Development for the three prior fiscal quarters was $10.22 million (Q3 2026), $8.32 million (Q2 2026) and $8.16 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 18.22 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 21.66 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 1.01 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -3.32 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 445.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 1.04 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | -673.00 Mn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 468.43 Mn |
| 10 | Quinstreet | 847.98 Mn | 409.37 Mn | 49.81 Mn | 10.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.61 Mn |
| Mar 31, 2026 | 10.22 Mn |
| Dec 31, 2025 | 8.32 Mn |
| Sep 30, 2025 | 8.16 Mn |
| Jun 30, 2025 | 7.69 Mn |
| Mar 31, 2025 | 8.85 Mn |
| Dec 31, 2024 | 8.71 Mn |
| Sep 30, 2024 | 8.62 Mn |
| Jun 30, 2024 | 7.59 Mn |
| Mar 31, 2024 | 7.55 Mn |
| Dec 31, 2023 | 7.27 Mn |
| Sep 30, 2023 | 7.64 Mn |
| Jun 30, 2023 | 7.06 Mn |
| Mar 31, 2023 | 7.83 Mn |
| Dec 31, 2022 | 7.17 Mn |
| Sep 30, 2022 | 6.83 Mn |
| Jun 30, 2022 | 6.91 Mn |
| Mar 31, 2022 | 5.51 Mn |
| Dec 31, 2021 | 4.86 Mn |
| Sep 30, 2021 | 4.63 Mn |
Quinstreet Research & Development 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=research-and-development&ticker=QNST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=QNST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();