Soluna Holdings (SLNH) Operating Leases (2020 - 2026)
Soluna Holdings' (SLNH) quarterly Operating Leases came in at $4.4 million in Q2 2026, up 1449.12% on a YoY basis from $283000.0 in Q2 2025, and up 1696.72% quarter-over-quarter from $244000.0 in Q1 2026.
Soluna Holdings (SLNH) Operating Leases (2020 - 2026) Analysis & Trends
Soluna Holdings (SLNH) has reported Operating Leases for 7 consecutive years, with $4.4 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Operating Leases rose 1449.12% year-over-year to $4.4 million; the trailing twelve-month figure through Jun 2026 stood at $4.4 million (up 1449.12% YoY), and the FY2025 full-year result was $187000.0, down 25.79% from the prior year.
- Operating Leases advanced to $4.4 million in Q2 2026 per SLNH's latest filing, from $244000.0 in the prior quarter.
- Across five years, Operating Leases topped out at $4.4 million in Q2 2026 and bottomed at $181000.0 in Q3 2024.
- Historically, Operating Leases has averaged $739000.0 across 5 years, with a median of $313000.0 in 2024.
- The sharpest annual moves came in 2022 and 2025: Operating Leases slumped 74.12% in 2022, then soared 1932.6% in 2025.
- Over 5 years, Operating Leases stood at $245000.0 in 2022, then fell by 11.84% to $216000.0 in 2023, then advanced by 16.67% to $252000.0 in 2024, then declined by 25.79% to $187000.0 in 2025, then surged by 2244.39% to $4.4 million in 2026.
- According to Business Quant data, Operating Leases over the past three periods registered $4.4 million, $244000.0, and $187000.0 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Equinix | 104.32 Bn | 102.12 Bn | 1.40 Bn |
| 2 | Terawulf | 8.71 Bn | 5.94 Bn | 32.37 Mn |
| 3 | Applied Digital | 8.12 Bn | 6.10 Bn | 97.29 Mn |
| 4 | Cipher Digital | 7.83 Bn | 3.83 Bn | 9.79 Mn |
| 5 | GDS Holdings | 7.07 Bn | 5.01 Bn | 97.89 Mn |
| 6 | Core Scientific | 5.87 Bn | 3.93 Bn | 70.04 Mn |
| 7 | Vnet | 1.95 Bn | 1.06 Bn | 74.45 Mn |
| 8 | Sify Technologies | 1.53 Bn | 1.53 Bn | 51.65 Mn |
| 9 | WhiteFiber | 771.39 Mn | 711.02 Mn | 18.88 Mn |
| 10 | Soluna Holdings | 167.65 Mn | 161.65 Mn | 766,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.38 Mn |
| Mar 31, 2026 | 244,000.00 |
| Dec 31, 2025 | 187,000.00 |
| Sep 30, 2025 | 3.68 Mn |
| Jun 30, 2025 | 283,000.00 |
| Mar 31, 2025 | 298,000.00 |
| Dec 31, 2024 | 252,000.00 |
| Sep 30, 2024 | 181,000.00 |
| Jun 30, 2024 | 328,000.00 |
| Mar 31, 2024 | 383,000.00 |
| Dec 31, 2023 | 216,000.00 |
| Sep 30, 2023 | 488,000.00 |
| Jun 30, 2023 | 532,000.00 |
| Mar 31, 2023 | 584,000.00 |
| Dec 31, 2022 | 245,000.00 |
| Sep 30, 2022 | 295,000.00 |
| Jun 30, 2022 | 338,000.00 |
| Mar 31, 2022 | 385,000.00 |
| Dec 31, 2021 | 421,000.00 |
| Sep 30, 2021 | 1.14 Mn |
Soluna Holdings Operating Leases 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=operating-leases&ticker=SLNH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "SLNH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-leases&ticker=SLNH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();