CPI Card (PMTS) Selling, General & Administrative (2014 - 2025)
CPI Card (PMTS) posted Selling, General & Administrative of $26.47 million for Q3 2025, up 3.1% from $25.67 million a year earlier but down 9.6% from the prior quarter.
CPI Card (PMTS) Selling, General & Administrative (2014 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Selling, General & Administrative at CPI Card was $106.72 million, up 5.2% year-over-year; for FY2024, it came in at $103.4 million, up 17.2% from FY2023.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 9.3% (FY2019 to FY2024).
- In prior years, CPI Card's Selling, General & Administrative was $88.26 million in FY2023 (-2.8%), $90.78 million in FY2022 (+19.9%), $75.7 million in FY2021 (+15.1%) and $65.79 million in FY2020 (-0.8%).
- Quarterly Selling, General & Administrative has run from a low of $16.15 million in Q1 2021 to a high of $29.29 million in Q2 2025 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in seven of the last eight quarters, with growth averaging 10.3%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q3 2021, with growth of 24.7%; the weakest was Q2 2023, with a decline of 9.0%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $29.29 million (Q2 2025), $25.5 million (Q1 2025) and $25.46 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 1.31 Bn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | 827.24 Mn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | 348.77 Mn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | 326.77 Mn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | 568.00 Mn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | 260.00 Mn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | 78.63 Mn |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 746.84 Mn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | - |
| 10 | CPI Card | 281.23 Mn | 203.69 Mn | 50.25 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 26.47 Mn |
| Jun 30, 2025 | 29.29 Mn |
| Mar 31, 2025 | 25.50 Mn |
| Dec 31, 2024 | 25.46 Mn |
| Sep 30, 2024 | 25.67 Mn |
| Jun 30, 2024 | 26.23 Mn |
| Mar 31, 2024 | 26.04 Mn |
| Dec 31, 2023 | 23.52 Mn |
| Sep 30, 2023 | 21.78 Mn |
| Jun 30, 2023 | 21.89 Mn |
| Mar 31, 2023 | 21.07 Mn |
| Dec 31, 2022 | 23.45 Mn |
| Sep 30, 2022 | 23.40 Mn |
| Jun 30, 2022 | 24.05 Mn |
| Mar 31, 2022 | 19.88 Mn |
| Dec 31, 2021 | 20.34 Mn |
| Sep 30, 2021 | 19.47 Mn |
| Jun 30, 2021 | 19.75 Mn |
| Mar 31, 2021 | 16.15 Mn |
| Dec 31, 2020 | 16.90 Mn |
CPI Card Selling, General & Administrative 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=selling-general-and-administrative&ticker=PMTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PMTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();