CPI Card (PMTS) Operating Margin (2014 - 2026)
CPI Card (PMTS) recorded Operating Margin of 7.95% in Q2 2026, up 0.69 percentage points from 7.26% a year earlier and up 0.48 percentage points from the prior quarter.
CPI Card (PMTS) Operating Margin (2014 - 2026) Analysis & Trends
On a TTM basis, CPI Card's Operating Margin came in at 9.22% as of Jun 30, 2026, down 2.18 percentage points year-over-year; for FY2025, it came in at 10.09%, down 2.98 percentage points from FY2024.
- Annual Operating Margin has declined for three straight years, with a five-year change of -2.21 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at 13.07% in FY2024 (-0.79 pp), 13.85% in FY2023 (-2.78 pp), 16.63% in FY2022 (+0.78 pp) and 15.85% in FY2021 (+3.55 pp).
- Quarterly Operating Margin has ranged from 7.26% in Q2 2025 to 18.82% in Q3 2022 over the past five years.
- On a year-over-year basis, Operating Margin rose in three of the last eight quarters, with an average year-over-year change of -1.36 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 8.04 percentage points in Q4 2022, against a drop of 7.67 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 7.47% (Q1 2026), 11.95% (Q4 2025) and 9.44% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 7.76% |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 18.67% |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 4.26% |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | CPI Card | 285.35 Mn | 207.04 Mn | 48.49 Mn | 7.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.95% |
| Mar 31, 2026 | 7.47% |
| Dec 31, 2025 | 11.95% |
| Sep 30, 2025 | 9.44% |
| Jun 30, 2025 | 7.26% |
| Mar 31, 2025 | 11.49% |
| Dec 31, 2024 | 12.74% |
| Sep 30, 2024 | 14.27% |
| Jun 30, 2024 | 12.55% |
| Mar 31, 2024 | 12.64% |
| Dec 31, 2023 | 10.24% |
| Sep 30, 2023 | 12.24% |
| Jun 30, 2023 | 15.22% |
| Mar 31, 2023 | 17.04% |
| Dec 31, 2022 | 17.91% |
| Sep 30, 2022 | 18.82% |
| Jun 30, 2022 | 13.29% |
| Mar 31, 2022 | 16.14% |
| Dec 31, 2021 | 9.88% |
| Sep 30, 2021 | 16.77% |
CPI Card Operating Margin 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=operating-margin&ticker=PMTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=PMTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();