Csp (CSPI) Total Liabilities (2010 - 2026)
Csp (CSPI) posted Total Liabilities of $26.52 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 37.4% from $19.3 million a year earlier and up 4.8% from the prior quarter.
Csp (CSPI) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Csp's Total Liabilities came in at $26.61 million, up 20.1% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- In prior fiscal years, Csp's Total Liabilities was $22.17 million in FY2024 (+12.2%), $19.76 million in FY2023 (-45.3%), $36.1 million in FY2022 (+24.8%) and $28.93 million in FY2021 (+20.0%).
- Quarterly Total Liabilities has run from a low of $15.95 million in fiscal Q2 2024 to a high of $36.1 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last six quarters, with growth averaging 17.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2026, with growth of 37.4%; the weakest was fiscal Q4 2023, with a decline of 45.3%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $25.3 million (Q2 2026), $24.34 million (Q1 2026) and $26.61 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | 7.81 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | 5.00 Bn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | 48.17 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | 2.66 Bn |
| 10 | Csp | 76.94 Mn | -23.17 Mn | 4.33 Mn | 26.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.52 Mn |
| Mar 31, 2026 | 25.30 Mn |
| Dec 31, 2025 | 24.34 Mn |
| Sep 30, 2025 | 26.61 Mn |
| Jun 30, 2025 | 19.30 Mn |
| Mar 31, 2025 | 19.67 Mn |
| Dec 31, 2024 | 20.07 Mn |
| Sep 30, 2024 | 22.17 Mn |
| Jun 30, 2024 | 18.66 Mn |
| Mar 31, 2024 | 15.95 Mn |
| Dec 31, 2023 | 20.95 Mn |
| Sep 30, 2023 | 19.76 Mn |
| Jun 30, 2023 | 23.38 Mn |
| Mar 31, 2023 | 24.58 Mn |
| Dec 31, 2022 | 28.26 Mn |
| Sep 30, 2022 | 36.10 Mn |
| Jun 30, 2022 | 30.04 Mn |
| Mar 31, 2022 | 24.28 Mn |
| Dec 31, 2021 | 27.85 Mn |
| Sep 30, 2021 | 28.93 Mn |
Csp 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=CSPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CSPI", "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=CSPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();