Bumble (BMBL) Total Non-Current Liabilities (2020 - 2026)
Bumble (BMBL) reported Total Non-Current Liabilities of $570.01 million for Q2 2026, down 24.7% from $757.26 million a year earlier and down 21.3% from the prior quarter.
Bumble (BMBL) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Bumble posted Total Non-Current Liabilities of $721.03 million, down 7.0% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -13.6% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $774.91 million in FY2024 (-12.0%), $880.47 million in FY2023 (+3.2%), $853.56 million in FY2022 (-7.1%) and $918.45 million in FY2021 (-38.5%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- Year over year, Total Non-Current Liabilities has now declined in each of the last ten quarters, with an average decline of 9.4% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2023 (growth of 3.2%); the low point was Q4 2021 (a decline of 38.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $724.63 million (Q1 2026), $721.03 million (Q4 2025) and $736.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 170.41 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | 428.00 Mn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 4.77 Bn |
| 10 | Bumble | 338.88 Mn | -443.75 Mn | 156.53 Mn | 570.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 570.01 Mn |
| Mar 31, 2026 | 724.63 Mn |
| Dec 31, 2025 | 721.03 Mn |
| Sep 30, 2025 | 736.72 Mn |
| Jun 30, 2025 | 757.26 Mn |
| Mar 31, 2025 | 754.35 Mn |
| Dec 31, 2024 | 774.91 Mn |
| Sep 30, 2024 | 809.59 Mn |
| Jun 30, 2024 | 806.92 Mn |
| Mar 31, 2024 | 834.43 Mn |
| Dec 31, 2023 | 880.47 Mn |
| Sep 30, 2023 | 836.28 Mn |
| Jun 30, 2023 | 829.21 Mn |
| Mar 31, 2023 | 849.14 Mn |
| Dec 31, 2022 | 853.56 Mn |
| Sep 30, 2022 | 841.53 Mn |
| Jun 30, 2022 | 865.61 Mn |
| Mar 31, 2022 | 901.96 Mn |
| Dec 31, 2021 | 918.45 Mn |
| Sep 30, 2021 | 914.33 Mn |
Bumble Total Non-Current 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-non-current-liabilities&ticker=BMBL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "BMBL", "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-non-current-liabilities&ticker=BMBL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();