Angi (ANGI) Total Non-Current Liabilities (2016 - 2026)
Angi's Total Non-Current Liabilities was $613.98 million in Q2 2026, down 17.8% from $746.76 million a year earlier and down 10.0% from the prior quarter.
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Analysis
Angi (ANGI) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Angi came in at $721.6 million, down 1.2% from FY2024.
- Total Non-Current Liabilities has now declined for three consecutive years, with a five-year compound annual growth rate of -5.8% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $730.02 million in FY2024 (-3.6%), $757.44 million in FY2023 (-3.0%), $780.89 million in FY2022 (+0.8%) and $774.88 million in FY2021 (-20.4%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q2 2020.
- Compared with a year earlier, Total Non-Current Liabilities has declined for 11 straight quarters, with an average decline of 5.5% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2022 (growth of 5.4%); the worst was Q3 2021 (a decline of 20.6%).
- Per Business Quant data, ANGI's Total Non-Current Liabilities in the three quarters before Q2 2026 was $682.04 million (Q1 2026), $721.6 million (Q4 2025) and $713.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 170.41 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 428.00 Mn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 6.21 Bn |
| 10 | Angi | 286.73 Mn | -790.94 Mn | 236.33 Mn | 613.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 613.98 Mn |
| Mar 31, 2026 | 682.04 Mn |
| Dec 31, 2025 | 721.60 Mn |
| Sep 30, 2025 | 713.72 Mn |
| Jun 30, 2025 | 746.76 Mn |
| Mar 31, 2025 | 714.63 Mn |
| Dec 31, 2024 | 730.02 Mn |
| Sep 30, 2024 | 742.29 Mn |
| Jun 30, 2024 | 760.56 Mn |
| Mar 31, 2024 | 741.50 Mn |
| Dec 31, 2023 | 757.44 Mn |
| Sep 30, 2023 | 802.49 Mn |
| Jun 30, 2023 | 802.08 Mn |
| Mar 31, 2023 | 768.54 Mn |
| Dec 31, 2022 | 780.89 Mn |
| Sep 30, 2022 | 796.81 Mn |
| Jun 30, 2022 | 834.74 Mn |
| Mar 31, 2022 | 803.31 Mn |
| Dec 31, 2021 | 774.88 Mn |
| Sep 30, 2021 | 803.80 Mn |
API Access
Angi 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=ANGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ANGI", "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=ANGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();