Cts (CTS) Total Liabilities (2010 - 2026)
Cts (CTS) posted Total Liabilities of $218.72 million for Q2 2026, down 6.8% from $234.57 million a year earlier and down 0.4% from the prior quarter.
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Analysis
Cts (CTS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Cts' Total Liabilities came in at $212.53 million, down 10.4% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- In prior years, Cts' Total Liabilities was $237.22 million in FY2024 (+10.7%), $214.35 million in FY2023 (-11.5%), $242.26 million in FY2022 (+20.6%) and $200.88 million in FY2021 (-0.7%).
- Quarterly Total Liabilities has run from a low of $194.6 million in Q3 2021 to a high of $259.36 million in Q3 2024 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last four quarters, with growth averaging 2.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2022, with growth of 26.3%; the weakest was Q3 2021, with a decline of 19.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $219.68 million (Q1 2026), $212.53 million (Q4 2025) and $242.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Cts | 1.70 Bn | 1.30 Bn | 60.05 Mn | 218.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 218.72 Mn |
| Mar 31, 2026 | 219.68 Mn |
| Dec 31, 2025 | 212.53 Mn |
| Sep 30, 2025 | 242.72 Mn |
| Jun 30, 2025 | 234.57 Mn |
| Mar 31, 2025 | 227.29 Mn |
| Dec 31, 2024 | 237.22 Mn |
| Sep 30, 2024 | 259.36 Mn |
| Jun 30, 2024 | 202.87 Mn |
| Mar 31, 2024 | 211.56 Mn |
| Dec 31, 2023 | 214.35 Mn |
| Sep 30, 2023 | 231.30 Mn |
| Jun 30, 2023 | 234.51 Mn |
| Mar 31, 2023 | 232.87 Mn |
| Dec 31, 2022 | 242.26 Mn |
| Sep 30, 2022 | 244.07 Mn |
| Jun 30, 2022 | 243.69 Mn |
| Dec 31, 2021 | 200.88 Mn |
| Sep 30, 2021 | 194.60 Mn |
| Jun 30, 2021 | 192.99 Mn |
API Access
Cts 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=CTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CTS", "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=CTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();