Cts (CTS) Tax Provisions (2010 - 2026)
Cts (CTS) recorded Tax Provisions of $20.47 million in Q3 2026, up 239.3% from $6.03 million a year earlier and up 189.3% from the prior quarter.
Cts (CTS) Tax Provisions (2010 - 2026) Analysis & Trends
On a TTM basis, Cts' Tax Provisions came in at $37.23 million as of Sep 30, 2026, up 119.1% year-over-year; for FY2025, it came in at $18.45 million, up 40.8% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $13.11 million in FY2024 (-10.3%), $14.62 million in FY2023 (-30.9%), $21.16 million in FY2022 and -$19.01 million in FY2021.
- The Q3 2026 figure is the highest quarterly Tax Provisions in data going back to Q2 2010.
- On a year-over-year basis, Tax Provisions has increased for eight consecutive quarters, with growth averaging 72.0% over the last eight quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 239.3% in Q3 2026, against a decline of 60.4% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.07 million (Q2 2026), $4.48 million (Q1 2026) and $5.21 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 968.00 Mn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 774.50 Mn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 529.00 Mn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 291.00 Mn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 253.00 Mn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 261.00 Mn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 198.00 Mn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 276.00 Mn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 230.30 Mn |
| 10 | Cts | 1.65 Bn | 1.23 Bn | 63.15 Mn | 20.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.47 Mn |
| Jun 30, 2026 | 7.07 Mn |
| Mar 31, 2026 | 4.48 Mn |
| Dec 31, 2025 | 5.21 Mn |
| Sep 30, 2025 | 6.03 Mn |
| Jun 30, 2025 | 4.46 Mn |
| Mar 31, 2025 | 2.76 Mn |
| Dec 31, 2024 | 3.75 Mn |
| Sep 30, 2024 | 3.76 Mn |
| Jun 30, 2024 | 3.06 Mn |
| Mar 31, 2024 | 2.54 Mn |
| Dec 31, 2023 | 2.31 Mn |
| Sep 30, 2023 | 4.77 Mn |
| Jun 30, 2023 | 3.18 Mn |
| Mar 31, 2023 | 4.37 Mn |
| Dec 31, 2022 | 5.83 Mn |
| Sep 30, 2022 | 5.50 Mn |
| Jun 30, 2022 | 4.32 Mn |
| Mar 31, 2022 | 5.51 Mn |
| Dec 31, 2021 | 5.59 Mn |
Cts Tax Provisions 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=tax-provisions&ticker=CTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=CTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();