Cipher Digital (CIFR) Accumulated Expenses (2020 - 2026)
Cipher Digital (CIFR) posted Accumulated Expenses of $628.77 million for Q3 2026, compared with $37.55 million a year earlier and up 76.3% from the prior quarter.
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Analysis
Cipher Digital (CIFR) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Cipher Digital's Accumulated Expenses came in at $90.09 million, up 29.0% from FY2024.
- Annual Accumulated Expenses has increased for three consecutive years, with a four-year compound annual growth rate of 332.7% (FY2021 to FY2025).
- In prior years, Cipher Digital's Accumulated Expenses was $69.82 million in FY2024 (+211.2%), $22.44 million in FY2023 (+15.9%), $19.35 million in FY2022 and $257,000 in FY2021.
- The Q3 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q3 2020.
- On a year-over-year basis, Accumulated Expenses increased in five of the last six quarters, with growth averaging 127.5%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2023, with growth of 380.2%; the weakest was Q2 2024, with a decline of 21.5%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $356.75 million (Q2 2026), $204.63 million (Q1 2026) and $90.09 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn |
| 10 | Cipher Digital | 2.72 Bn | -108.93 Mn | 11.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 628.77 Mn |
| Jun 30, 2026 | 356.75 Mn |
| Mar 31, 2026 | 204.63 Mn |
| Dec 31, 2025 | 90.09 Mn |
| Sep 30, 2025 | 37.55 Mn |
| Jun 30, 2025 | 30.18 Mn |
| Mar 31, 2025 | 66.30 Mn |
| Dec 31, 2024 | 69.82 Mn |
| Sep 30, 2024 | 40.76 Mn |
| Jun 30, 2024 | 17.86 Mn |
| Mar 31, 2024 | 18.66 Mn |
| Dec 31, 2023 | 22.44 Mn |
| Sep 30, 2023 | 24.81 Mn |
| Jun 30, 2023 | 22.75 Mn |
| Mar 31, 2023 | 17.34 Mn |
| Dec 31, 2022 | 19.35 Mn |
| Sep 30, 2022 | 10.73 Mn |
| Jun 30, 2022 | 5.81 Mn |
| Mar 31, 2022 | 3.61 Mn |
| Dec 31, 2021 | 257,000.00 |
API Access
Cipher Digital Accumulated Expenses 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=accumulated-expenses&ticker=CIFR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CIFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();