Meta Platforms (META) Total Non-Current Liabilities (2011 - 2026)
Meta Platforms' Total Non-Current Liabilities came in at $170.41 billion for Q2 2026, up 94.5% from $87.63 billion a year earlier and up 26.5% from the prior quarter.
Meta Platforms (META) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Meta Platforms' Total Non-Current Liabilities was $127.77 billion, up 53.1% from FY2024.
- Total Non-Current Liabilities has increased in each of the last 12 years, with a five-year compound annual growth rate of 39.0% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $83.43 billion in FY2024 (+21.0%), $68.94 billion in FY2023 (+31.9%), $52.25 billion in FY2022 (+54.2%) and $33.88 billion in FY2021 (+37.7%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2011.
- Year-over-year, Total Non-Current Liabilities has increased for 21 consecutive quarters, with growth averaging 41.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Non-Current Liabilities ranged from 1.3% (Q2 2024) to 94.5% (Q2 2026).
- Business Quant data shows META's Total Non-Current Liabilities at $134.72 billion (Q1 2026), $127.77 billion (Q4 2025) and $97.64 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,273.02 Bn | 4,030.55 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,882.67 Bn | 1,585.19 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 | 258.66 Bn | 82.26 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 221.29 Bn | 198.47 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 145.86 Bn | 117.84 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 120.48 Bn | 53.53 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 115.79 Bn | -126.92 Bn | 9.45 Bn | 428.00 Mn |
| 9 | Spotify Technology | 108.98 Bn | 66.21 Bn | 1.86 Bn | 6.21 Bn |
| 10 | Airbnb | 97.86 Bn | 51.09 Bn | 2.98 Bn | 20.57 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 170.41 Bn |
| Mar 31, 2026 | 134.72 Bn |
| Dec 31, 2025 | 127.77 Bn |
| Sep 30, 2025 | 97.64 Bn |
| Jun 30, 2025 | 87.63 Bn |
| Mar 31, 2025 | 84.19 Bn |
| Dec 31, 2024 | 83.43 Bn |
| Sep 30, 2024 | 82.71 Bn |
| Jun 30, 2024 | 65.58 Bn |
| Mar 31, 2024 | 65.52 Bn |
| Dec 31, 2023 | 68.94 Bn |
| Sep 30, 2023 | 65.29 Bn |
| Jun 30, 2023 | 64.74 Bn |
| Mar 31, 2023 | 51.48 Bn |
| Dec 31, 2022 | 52.25 Bn |
| Sep 30, 2022 | 47.30 Bn |
| Jun 30, 2022 | 37.01 Bn |
| Mar 31, 2022 | 33.98 Bn |
| Dec 31, 2021 | 33.88 Bn |
| Sep 30, 2021 | 29.37 Bn |
Meta Platforms 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=META&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "META", "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=META&period=max&api_key=YOUR_API_KEY");
const data = await res.json();