Cps Technologies (CPSH) Total Liabilities (2011 - 2026)
Cps Technologies (CPSH) posted Total Liabilities of $4.78 million for Q2 2026, up 6.4% from $4.49 million a year earlier and up 1.8% from the prior quarter.
Powered by 
Analysis
Cps Technologies (CPSH) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Cps Technologies' Total Liabilities came in at $4.88 million, up 11.7% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 20.0% (FY2020 to FY2025).
- In prior years, Cps Technologies' Total Liabilities was $4.36 million in FY2024 (+2.0%), $4.28 million in FY2023 (-28.4%), $5.97 million in FY2022 (+6.0%) and $5.63 million in FY2021 (+187.0%).
- Quarterly Total Liabilities has run from a low of $3.65 million in Q2 2024 to a high of $5.97 million in Q4 2022 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last seven quarters, with growth averaging 9.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 187.0%; the weakest was Q3 2024, with a decline of 29.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $4.7 million (Q1 2026), $4.88 million (Q4 2025) and $5.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 21.81 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 35.36 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 11.14 Bn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Cps Technologies | 64.61 Mn | 15.41 Mn | 1.23 Mn | 4.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 4.78 Mn |
| Mar 28, 2026 | 4.70 Mn |
| Dec 27, 2025 | 4.88 Mn |
| Sep 27, 2025 | 5.30 Mn |
| Jun 28, 2025 | 4.49 Mn |
| Mar 29, 2025 | 4.49 Mn |
| Dec 28, 2024 | 4.36 Mn |
| Sep 28, 2024 | 3.77 Mn |
| Jun 29, 2024 | 3.65 Mn |
| Mar 30, 2024 | 3.83 Mn |
| Dec 30, 2023 | 4.28 Mn |
| Sep 30, 2023 | 5.36 Mn |
| Apr 1, 2023 | 5.13 Mn |
| Dec 31, 2022 | 5.97 Mn |
| Oct 1, 2022 | 5.22 Mn |
| Jul 2, 2022 | 4.67 Mn |
| Apr 2, 2022 | 5.37 Mn |
| Dec 25, 2021 | 5.63 Mn |
| Sep 25, 2021 | 4.53 Mn |
| Jun 26, 2021 | 3.74 Mn |
API Access
Cps Technologies 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=CPSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CPSH", "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=CPSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();