Nextdoor Holdings (NXDR) Total Liabilities (2020 - 2026)
Nextdoor Holdings (NXDR) recorded Total Liabilities of $51.24 million in Q2 2026, down 15.8% from $60.82 million a year earlier but up 0.4% from the prior quarter.
Nextdoor Holdings (NXDR) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Nextdoor Holdings reported Total Liabilities of $55.52 million, down 8.2% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -36.0% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $60.47 million in FY2024 (-37.0%), $96.01 million in FY2023 (+8.5%), $88.49 million in FY2022 (-6.9%) and $95.1 million in FY2021 (-81.6%).
- Quarterly Total Liabilities has ranged from $51.04 million in Q1 2026 to $737.05 million in Q3 2021 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for ten consecutive quarters, with an average decline of 20.4% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 10.1% in Q2 2023, against a decline of 87.7% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $51.04 million (Q1 2026), $55.52 million (Q4 2025) and $59.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.67 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 5.11 Bn |
| 10 | Nextdoor Holdings | 918.34 Mn | -640.87 Mn | 63.08 Mn | 51.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.24 Mn |
| Mar 31, 2026 | 51.04 Mn |
| Dec 31, 2025 | 55.52 Mn |
| Sep 30, 2025 | 59.26 Mn |
| Jun 30, 2025 | 60.82 Mn |
| Mar 31, 2025 | 58.89 Mn |
| Dec 31, 2024 | 60.47 Mn |
| Sep 30, 2024 | 61.62 Mn |
| Jun 30, 2024 | 69.76 Mn |
| Mar 31, 2024 | 91.64 Mn |
| Dec 31, 2023 | 96.01 Mn |
| Sep 30, 2023 | 96.92 Mn |
| Jun 30, 2023 | 100.96 Mn |
| Mar 31, 2023 | 98.36 Mn |
| Dec 31, 2022 | 88.49 Mn |
| Sep 30, 2022 | 90.48 Mn |
| Jun 30, 2022 | 91.71 Mn |
| Mar 31, 2022 | 94.53 Mn |
| Dec 31, 2021 | 95.10 Mn |
| Sep 30, 2021 | 737.05 Mn |
Nextdoor Holdings Total Liabilities 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=total-liabilities&ticker=NXDR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=NXDR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();