CPI Card (PMTS) Total Non-Current Liabilities (2014 - 2026)
CPI Card (PMTS) reported Total Non-Current Liabilities of $356.12 million for Q2 2026, down 8.7% from $389.94 million a year earlier but up 0.7% from the prior quarter.
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Analysis
CPI Card (PMTS) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, CPI Card posted Total Non-Current Liabilities of $373.02 million, up 3.8% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $359.31 million in FY2024 (+11.7%), $321.58 million in FY2023 (-10.8%), $360.34 million in FY2022 (-3.6%) and $373.65 million in FY2021 (-4.9%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $321.58 million in Q4 2023 and a high of $394.11 million in Q3 2025.
- Year over year, Total Non-Current Liabilities gained in seven of the last eight quarters, with growth averaging 5.3%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2025 (growth of 13.5%); the low point was Q3 2023 (a decline of 14.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $353.8 million (Q1 2026), $373.02 million (Q4 2025) and $394.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 6.29 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 1.79 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 9.92 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.41 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | -6.00 Mn |
| 10 | CPI Card | 285.58 Mn | 207.27 Mn | 48.49 Mn | 356.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 356.12 Mn |
| Mar 31, 2026 | 353.80 Mn |
| Dec 31, 2025 | 373.02 Mn |
| Sep 30, 2025 | 394.11 Mn |
| Jun 30, 2025 | 389.94 Mn |
| Mar 31, 2025 | 349.00 Mn |
| Dec 31, 2024 | 359.31 Mn |
| Sep 30, 2024 | 360.32 Mn |
| Jun 30, 2024 | 343.56 Mn |
| Mar 31, 2024 | 346.09 Mn |
| Dec 31, 2023 | 321.58 Mn |
| Sep 30, 2023 | 326.22 Mn |
| Jun 30, 2023 | 345.45 Mn |
| Mar 31, 2023 | 349.98 Mn |
| Dec 31, 2022 | 360.34 Mn |
| Sep 30, 2022 | 380.54 Mn |
| Jun 30, 2022 | 379.23 Mn |
| Mar 31, 2022 | 380.84 Mn |
| Dec 31, 2021 | 373.65 Mn |
| Sep 30, 2021 | 361.83 Mn |
API Access
CPI Card Total Non-Current 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-non-current-liabilities&ticker=PMTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PMTS", "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-non-current-liabilities&ticker=PMTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();