Nextdoor Holdings (NXDR) Other Operating Expenses (2021 - 2026)
Nextdoor Holdings (NXDR) posted Other Operating Expenses of $32.53 million for Q2 2026, down 7.0% from $34.98 million a year earlier but up 6.0% from the prior quarter.
Nextdoor Holdings (NXDR) Other Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Nextdoor Holdings was $128.7 million, down 4.5% year-over-year; for FY2025, it was $132.02 million, down 11.3% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- In prior years, Nextdoor Holdings' Other Operating Expenses was $148.83 million in FY2024 (-9.5%), $164.54 million in FY2023 (+1.5%), $162.16 million in FY2022 (+19.9%) and $135.24 million in FY2021 (+32.7%).
- Quarterly Other Operating Expenses has run from a low of $30.69 million in Q1 2026 to a high of $42.81 million in Q2 2022 over five years.
- On a year-over-year basis, Other Operating Expenses increased in 1 of the last eight quarters, with an average decline of 11.1%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q1 2022, with growth of 37.2%; the weakest was Q4 2024, with a decline of 26.8%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $30.69 million (Q1 2026), $31.28 million (Q4 2025) and $34.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 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 |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 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 |
| 10 | Nextdoor Holdings | 929.78 Mn | -629.44 Mn | 63.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.53 Mn |
| Mar 31, 2026 | 30.69 Mn |
| Dec 31, 2025 | 31.28 Mn |
| Sep 30, 2025 | 34.20 Mn |
| Jun 30, 2025 | 34.98 Mn |
| Mar 31, 2025 | 31.56 Mn |
| Dec 31, 2024 | 30.97 Mn |
| Sep 30, 2024 | 37.29 Mn |
| Jun 30, 2024 | 40.72 Mn |
| Mar 31, 2024 | 39.85 Mn |
| Dec 31, 2023 | 42.31 Mn |
| Sep 30, 2023 | 41.29 Mn |
| Jun 30, 2023 | 41.82 Mn |
| Mar 31, 2023 | 39.12 Mn |
| Dec 31, 2022 | 40.35 Mn |
| Sep 30, 2022 | 38.88 Mn |
| Jun 30, 2022 | 42.81 Mn |
| Mar 31, 2022 | 40.12 Mn |
| Dec 31, 2021 | 38.24 Mn |
| Sep 30, 2021 | 34.82 Mn |
Nextdoor Holdings Other Operating 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=other-operating-expenses&ticker=NXDR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=NXDR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();