Amaze Holdings (AMZE) Net Long-Term Debt Issued (Repaid) (2022 - 2026)
Amaze Holdings' Net Long-Term Debt Issued (Repaid) came in at -$430,204 for Q1 2026, compared with $1.5 million a year earlier.
Amaze Holdings (AMZE) Net Long-Term Debt Issued (Repaid) (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Amaze Holdings reported Net Long-Term Debt Issued (Repaid) of $3.83 million, up 94.4% year-over-year; for FY2025, it came in at $5.76 million.
- Going back by year, Net Long-Term Debt Issued (Repaid) was $500,000 in FY2024, -$216,000 in FY2022 and -$216,000 in FY2021.
- The Q1 2026 figure represents the lowest quarterly Net Long-Term Debt Issued (Repaid) in data going back to Q1 2022.
- Business Quant data shows AMZE's Net Long-Term Debt Issued (Repaid) at $578,999 (Q4 2025), $2.43 million (Q3 2025) and $1.25 million (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn | 25.37 Bn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn | -964.00 Mn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn | 992.55 Mn |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - | - |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn | - |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn | 3.10 Bn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn | - |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - | - |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - | - |
| 10 | Amaze Holdings | 52,531.93 | 52,531.93 | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -430,204.00 |
| Dec 31, 2025 | 578,999.00 |
| Sep 30, 2025 | 2.43 Mn |
| Jun 30, 2025 | 1.25 Mn |
| Mar 31, 2025 | 1.50 Mn |
| Dec 31, 2024 | 172,500.00 |
| Sep 30, 2024 | 300,000.00 |
| Mar 31, 2024 | 15,000.00 |
| Jun 30, 2022 | -16,231.00 |
| Mar 31, 2022 | -370,838.00 |
Amaze Holdings 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=AMZE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "AMZE", "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=AMZE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();