Cipher Digital (CIFR) Return on Sales [ROS] (2023 - 2026)
Cipher Digital (CIFR) recorded Return on Sales [ROS] of -269.33% in Q3 2026, down 216.88 percentage points from -52.46% a year earlier but up 46.87 percentage points from the prior quarter.
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Analysis
Cipher Digital (CIFR) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
On a TTM basis, Cipher Digital's Return on Sales [ROS] came in at -387.19% as of Sep 30, 2026, down 336.88 percentage points year-over-year; for FY2025, it came in at -188.25%, down 159.36 percentage points from FY2024.
- Annual Return on Sales [ROS] has a three-year change of +1043.92 percentage points (FY2022 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -28.89% in FY2024 (-13.03 pp), -15.86% in FY2023 (+1216.31 pp) and -1232.17% in FY2022.
- Quarterly Return on Sales [ROS] has ranged from -503.45% in Q4 2025 to 97.19% in Q1 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of -140.87 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 326.74 percentage points in Q3 2025, against a drop of 543.90 percentage points in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -316.21% (Q2 2026), -328.86% (Q1 2026) and -503.45% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn | 49.76% |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn | 15.88% |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn | 23.34% |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn | -8.68% |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn | -30.21% |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn | 66.93% |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn | -1.90% |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn | 9.24% |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn | 27.02% |
| 10 | Cipher Digital | 2.72 Bn | -108.93 Mn | 11.34 Mn | -269.33% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -269.33% |
| Jun 30, 2026 | -316.21% |
| Mar 31, 2026 | -328.86% |
| Dec 31, 2025 | -503.45% |
| Sep 30, 2025 | -52.46% |
| Jun 30, 2025 | -103.85% |
| Mar 31, 2025 | -77.80% |
| Dec 31, 2024 | 40.45% |
| Sep 30, 2024 | -379.20% |
| Jun 30, 2024 | -43.93% |
| Mar 31, 2024 | 97.19% |
| Dec 31, 2023 | 35.01% |
| Sep 30, 2023 | -63.05% |
| Jun 30, 2023 | -38.72% |
| Mar 31, 2023 | -18.82% |
API Access
Cipher Digital Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CIFR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CIFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();