Soluna Holdings (SLNH) Accumulated Expenses (2010 - 2026)
Soluna Holdings' (SLNH) quarterly Accumulated Expenses came in at $7.5 million in Q2 2026, up 27.22% on a YoY basis from $5.9 million in Q2 2025, and down 51.51% quarter-over-quarter from $15.6 million in Q1 2026.
Soluna Holdings (SLNH) Accumulated Expenses (2010 - 2026) Analysis & Trends
Soluna Holdings (SLNH) has reported Accumulated Expenses for 12 consecutive years, with $7.5 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Accumulated Expenses rose 27.22% year-over-year to $7.5 million; the trailing twelve-month figure through Jun 2026 stood at $7.5 million (up 27.22% YoY), and the FY2025 full-year result was $13.2 million, up 94.28% from the prior year.
- Accumulated Expenses slipped to $7.5 million in Q2 2026 per SLNH's latest filing, from $15.6 million in the prior quarter.
- Across five years, Accumulated Expenses topped out at $15.6 million in Q1 2026 and bottomed at $2.2 million in Q1 2022.
- Historically, Accumulated Expenses has averaged $6.4 million across 5 years, with a median of $5.9 million in 2024.
- The sharpest annual moves came in 2025 and 2026: Accumulated Expenses fell 5.6% in 2025, then surged 140.17% in 2026.
- Over 5 years, Accumulated Expenses stood at $2.7 million in 2022, then surged by 80.3% to $4.9 million in 2023, then soared by 38.3% to $6.8 million in 2024, then surged by 94.28% to $13.2 million in 2025, then tumbled by 42.73% to $7.5 million in 2026.
- According to Business Quant data, Accumulated Expenses over the past three periods registered $7.5 million, $15.6 million, and $13.2 million 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 | 7.55 Mn |
| Mar 31, 2026 | 15.57 Mn |
| Dec 31, 2025 | 13.18 Mn |
| Sep 30, 2025 | 12.43 Mn |
| Jun 30, 2025 | 5.93 Mn |
| Mar 31, 2025 | 6.48 Mn |
| Dec 31, 2024 | 6.79 Mn |
| Sep 30, 2024 | 7.67 Mn |
| Jun 30, 2024 | 6.29 Mn |
| Mar 31, 2024 | 5.96 Mn |
| Dec 31, 2023 | 4.91 Mn |
| Sep 30, 2023 | 4.45 Mn |
| Jun 30, 2023 | 4.10 Mn |
| Mar 31, 2023 | 2.85 Mn |
| Dec 31, 2022 | 2.72 Mn |
| Sep 30, 2022 | 2.48 Mn |
| Jun 30, 2022 | 2.92 Mn |
| Mar 31, 2022 | 2.17 Mn |
| Dec 31, 2021 | 2.86 Mn |
| Sep 30, 2021 | 2.00 Mn |
Soluna Holdings 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=SLNH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SLNH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();