CPI Card (PMTS) Long-Term Debt Repayments (2014 - 2026)
CPI Card's Long-Term Debt Repayments came in at $15 million for Q2 2026, up 372.4% from $3.18 million a year earlier and up 50.0% from the prior quarter.
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Analysis
CPI Card (PMTS) Long-Term Debt Repayments (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, CPI Card reported Long-Term Debt Repayments of $82 million, down 69.7% year-over-year; for FY2025, it was $62 million, down 76.9% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 88.3% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $267.9 million in FY2024, $16.95 million in FY2023 (-32.0%), $24.94 million in FY2022 (-92.0%) and $312.5 million in FY2021.
- The five-year range for quarterly Long-Term Debt Repayments is -$8 million (Q4 2024) to $273.48 million (Q3 2024).
- Year-over-year, Long-Term Debt Repayments increased in four of the last five quarters, with growth averaging 190.9%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q1 2026 (growth of 447.9%), and the weakest in Q1 2022 (a decline of 93.6%).
- Business Quant data shows PMTS's Long-Term Debt Repayments at $10 million (Q1 2026), $22 million (Q4 2025) and $35 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.28 Bn | 105.57 Bn | 6.13 Bn | - |
| 2 | Cintas | 86.11 Bn | 85.20 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 33.88 Bn | 33.07 Bn | 1.07 Bn | 6.75 Bn |
| 4 | APi | 17.19 Bn | 14.23 Bn | 703.00 Mn | 302.00 Mn |
| 5 | Rollins | 15.85 Bn | 15.39 Bn | 569.95 Mn | - |
| 6 | UL Solutions | 14.81 Bn | 13.57 Bn | 417.00 Mn | 57.00 Mn |
| 7 | Aramark | 14.77 Bn | 12.72 Bn | 430.34 Mn | 11.63 Mn |
| 8 | Gartner | 14.50 Bn | 8.19 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.68 Bn | 4.20 Bn | - | - |
| 10 | CPI Card | 312.67 Mn | 234.35 Mn | 48.49 Mn | 17.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.40 Mn |
| Mar 31, 2026 | 12.40 Mn |
| Dec 31, 2025 | 24.41 Mn |
| Sep 30, 2025 | 37.19 Mn |
| Jun 30, 2025 | 6.95 Mn |
| Mar 31, 2025 | 1.83 Mn |
| Dec 31, 2024 | -6.47 Mn |
| Sep 30, 2024 | 277.17 Mn |
| Jun 30, 2024 | 1.14 Mn |
| Mar 31, 2024 | 1.27 Mn |
| Dec 31, 2023 | 1.22 Mn |
| Sep 30, 2023 | 2.99 Mn |
| Jun 30, 2023 | 7.89 Mn |
| Mar 31, 2023 | 8.72 Mn |
| Dec 31, 2022 | 5.84 Mn |
| Sep 30, 2022 | 1.02 Mn |
| Jun 30, 2022 | 786,000.00 |
| Mar 31, 2022 | 20.65 Mn |
| Dec 31, 2021 | 446,000.00 |
| Sep 30, 2021 | 438,000.00 |
API Access
CPI Card Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PMTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=PMTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();