Cipher Digital (CIFR) Net Long-Term Debt Issued (Repaid) (2020 - 2026)
Cipher Digital's Non-Current Debt was $5.45 billion in Q2 2026, compared with $167.11 million a year earlier and up 24.4% from the prior quarter.
Analysis
Cipher Digital (CIFR) Net Long-Term Debt Issued (Repaid) (2020 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Debt at Cipher Digital came in at $2.71 billion.
- Per Business Quant data, CIFR's Non-Current Debt in the three quarters before Q2 2026 was $4.38 billion (Q1 2026), $2.71 billion (Q4 2025) and $1.02 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,958.25 Bn | 3,881.40 Bn | 60.48 Bn | - |
| 2 | International Business Machines | 238.12 Bn | 188.94 Bn | 9.91 Bn | -4.21 Bn |
| 3 | Cloudflare | 117.97 Bn | 101.50 Bn | 499.52 Mn | - |
| 4 | Equinix | 95.45 Bn | 84.02 Bn | 1.40 Bn | 171.00 Mn |
| 5 | Nebius | 37.16 Bn | 10.59 Bn | 448.70 Mn | - |
| 6 | CoreWeave | 30.42 Bn | 17.51 Bn | 1.70 Bn | 9.57 Bn |
| 7 | Verisign | 27.81 Bn | 25.16 Bn | 393.20 Mn | -551.40 Mn |
| 8 | Nutanix | 19.56 Bn | 11.25 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 14.36 Bn | 9.94 Bn | 828.20 Mn | - |
| 10 | Cipher Digital | 3.15 Bn | -236.63 Mn | 9.79 Mn | 795.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 795.86 Mn |
| Mar 31, 2026 | 1.97 Bn |
| Dec 31, 2025 | 1.71 Bn |
| Sep 30, 2025 | 1.27 Bn |
| Jun 30, 2025 | 165.61 Mn |
| Mar 31, 2025 | -911,000.00 |
| Dec 31, 2024 | -1.92 Mn |
| Sep 30, 2024 | -1.21 Mn |
| Jun 30, 2024 | -1.21 Mn |
| Mar 31, 2024 | -1.21 Mn |
| Dec 31, 2023 | -4.69 Mn |
| Sep 30, 2023 | -6.13 Mn |
| Sep 30, 2021 | 2.74 Mn |
| Jun 30, 2021 | 4.20 Mn |
| Mar 31, 2021 | 100,000.00 |
| Sep 30, 2020 | 135,000.00 |
API Access
Cipher Digital 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=CIFR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "CIFR", "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=CIFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();