Meta Platforms (META) Net Long-Term Debt Issued (Repaid) (2011 - 2026)
Meta Platforms (META) posted Non-Current Debt of $80.92 billion for Q3 2026, up 180.6% from $28.83 billion a year earlier but down 3.3% from the prior quarter.
Meta Platforms (META) Net Long-Term Debt Issued (Repaid) (2011 - 2026) Analysis & Trends
At the end of FY2025, Meta Platforms' Non-Current Debt came in at $58.74 billion, up 103.8% from FY2024.
- Annual Non-Current Debt has increased for three consecutive years, with a three-year compound annual growth rate of 80.9% (FY2022 to FY2025).
- In prior years, Meta Platforms' Non-Current Debt was $28.83 billion in FY2024 (+56.8%), $18.39 billion in FY2023 (+85.3%) and $9.92 billion in FY2022.
- Quarterly Non-Current Debt has run from a low of $9.92 billion in Q3 2022 to a high of $83.66 billion in Q2 2026 over five years.
- On a year-over-year basis, Non-Current Debt has increased in each of the last four quarters, with growth averaging 93.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Non-Current Debt ran from 0.0% in Q2 2024 to 190.2% in Q2 2026.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $83.66 billion (Q2 2026), $58.75 billion (Q1 2026) and $58.74 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,394.62 Bn | 3,078.49 Bn | - | - |
| 2 | Meta Platforms | 1,562.01 Bn | 1,562.01 Bn | - | - |
| 3 | Netflix | 255.92 Bn | 217.22 Bn | 6.80 Bn | 992.55 Mn |
| 4 | Alibaba Group Holding | 227.02 Bn | 40.65 Bn | 15.16 Bn | - |
| 5 | Shopify | 203.21 Bn | 180.40 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 132.34 Bn | 104.14 Bn | 6.38 Bn | -2.04 Bn |
| 7 | Spotify Technology | 121.64 Bn | 78.55 Bn | 1.89 Bn | - |
| 8 | Booking Holdings | 113.63 Bn | 46.68 Bn | - | -1.00 Bn |
| 9 | PDD Holdings | 109.85 Bn | -134.20 Bn | 9.48 Bn | - |
| 10 | Airbnb | 97.28 Bn | 50.51 Bn | 2.98 Bn | -5.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -962.00 Mn |
| Mar 31, 2026 | -843.00 Mn |
| Dec 31, 2025 | 29.15 Bn |
| Sep 30, 2025 | -545.00 Mn |
| Jun 30, 2025 | -474.00 Mn |
| Mar 31, 2025 | -751.00 Mn |
| Dec 31, 2024 | -411.00 Mn |
| Sep 30, 2024 | 9.49 Bn |
| Jun 30, 2024 | -299.00 Mn |
| Mar 31, 2024 | -315.00 Mn |
| Dec 31, 2023 | -307.00 Mn |
| Sep 30, 2023 | -267.00 Mn |
| Jun 30, 2023 | -220.00 Mn |
| Mar 31, 2023 | -264.00 Mn |
| Dec 31, 2022 | -235.00 Mn |
| Sep 30, 2022 | 9.76 Bn |
| Jun 30, 2022 | -219.00 Mn |
| Mar 31, 2022 | -233.00 Mn |
| Dec 31, 2021 | -172.00 Mn |
| Sep 30, 2021 | -231.00 Mn |
Meta Platforms Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=META&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=META&period=max&api_key=YOUR_API_KEY");
const data = await res.json();