Surge Components (SPRS) Total Liabilities (2010 - 2026)
Surge Components (SPRS) reported Total Liabilities of $6.59 million for fiscal Q2 2026 (quarter ended May 31, 2026), up 8.9% from $6.05 million a year earlier and up 10.8% from the prior quarter.
Surge Components (SPRS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Surge Components posted Total Liabilities of $5.72 million, down 3.9% from FY2024.
- Total Liabilities has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- By fiscal year, Total Liabilities came in at $5.96 million in FY2024 (-2.5%), $6.11 million in FY2023 (-14.2%), $7.12 million in FY2022 (-16.9%) and $8.57 million in FY2021 (+18.1%).
- The fiscal Q2 2026 figure ranks as the highest quarterly Total Liabilities since fiscal Q1 2023.
- Year over year, Total Liabilities gained in four of the last eight quarters, with growth averaging 3.3%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q2 2022 (growth of 47.7%); the low point was fiscal Q2 2023 (a decline of 43.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at $5.95 million (Q1 2026), $5.72 million (Q4 2025) and $6.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 7.81 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 5.00 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 48.17 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Surge Components | 22.89 Mn | -33.67 Mn | 2.89 Mn | 6.59 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 6.59 Mn |
| Feb 28, 2026 | 5.95 Mn |
| Nov 30, 2025 | 5.72 Mn |
| Aug 31, 2025 | 6.29 Mn |
| May 31, 2025 | 6.05 Mn |
| Feb 28, 2025 | 5.36 Mn |
| Nov 30, 2024 | 5.96 Mn |
| Aug 31, 2024 | 5.94 Mn |
| May 31, 2024 | 6.40 Mn |
| Feb 29, 2024 | 4.54 Mn |
| Nov 30, 2023 | 6.11 Mn |
| Aug 31, 2023 | 6.28 Mn |
| May 31, 2023 | 6.18 Mn |
| Feb 28, 2023 | 6.65 Mn |
| Nov 30, 2022 | 7.12 Mn |
| Aug 31, 2022 | 8.63 Mn |
| May 31, 2022 | 10.99 Mn |
| Feb 28, 2022 | 7.46 Mn |
| Nov 30, 2021 | 8.57 Mn |
| Aug 31, 2021 | 7.78 Mn |
Surge Components Total Liabilities 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=total-liabilities&ticker=SPRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SPRS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=SPRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();