Nextdoor Holdings (NXDR) Research & Development (2021 - 2026)
Nextdoor Holdings (NXDR) reported Research & Development of $32.99 million for Q2 2026, down 4.7% from $34.62 million a year earlier but up 3.0% from the prior quarter.
Nextdoor Holdings (NXDR) Research & Development (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Nextdoor Holdings' Research & Development came in at $132.09 million, down 1.2% year-over-year; for FY2025, it came in at $135.21 million, up 5.7% from FY2024.
- Research & Development has a five-year compound annual growth rate of 14.3% (FY2020 to FY2025).
- By year, Research & Development came in at $127.94 million in FY2024 (-14.7%), $150 million in FY2023 (+18.0%), $127.07 million in FY2022 (+30.9%) and $97.1 million in FY2021 (+40.2%).
- Five-year quarterly Research & Development spans a low of $25.46 million in Q3 2021 and a high of $40.25 million in Q4 2023.
- Year over year, Research & Development has now declined in each of the last three quarters, with an average decline of 2.7% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was Q2 2022 (growth of 40.2%); the low point was Q3 2024 (a decline of 19.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $32.02 million (Q1 2026), $31.42 million (Q4 2025) and $35.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 18.22 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 21.66 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.01 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -3.32 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 445.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 1.04 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -673.00 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 99.90 Mn |
| 10 | Nextdoor Holdings | 918.34 Mn | -640.87 Mn | 63.08 Mn | 32.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.99 Mn |
| Mar 31, 2026 | 32.02 Mn |
| Dec 31, 2025 | 31.42 Mn |
| Sep 30, 2025 | 35.67 Mn |
| Jun 30, 2025 | 34.62 Mn |
| Mar 31, 2025 | 33.49 Mn |
| Dec 31, 2024 | 33.62 Mn |
| Sep 30, 2024 | 31.90 Mn |
| Jun 30, 2024 | 31.10 Mn |
| Mar 31, 2024 | 31.32 Mn |
| Dec 31, 2023 | 40.25 Mn |
| Sep 30, 2023 | 39.65 Mn |
| Jun 30, 2023 | 37.12 Mn |
| Mar 31, 2023 | 32.98 Mn |
| Dec 31, 2022 | 32.02 Mn |
| Sep 30, 2022 | 33.40 Mn |
| Jun 30, 2022 | 32.70 Mn |
| Mar 31, 2022 | 28.96 Mn |
| Dec 31, 2021 | 27.48 Mn |
| Sep 30, 2021 | 25.46 Mn |
Nextdoor Holdings 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=NXDR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "NXDR", "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=NXDR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();