Progyny (PGNY) Selling, General & Administrative (2018 - 2026)
Progyny's Selling, General & Administrative was $31.22 million in Q2 2026, down 13.8% from $36.21 million a year earlier but up 1.4% from the prior quarter.
Progyny (PGNY) Selling, General & Administrative (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Progyny's Selling, General & Administrative was $139.08 million through Jun 30, 2026, up 5.0% year-over-year; for FY2025, it came in at $147.09 million, up 20.6% from FY2024.
- Selling, General & Administrative has now increased for eight consecutive years, with a five-year compound annual growth rate of 25.8% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $121.96 million in FY2024 (+4.1%), $117.13 million in FY2023 (+19.1%), $98.33 million in FY2022 (+64.9%) and $59.62 million in FY2021 (+27.6%).
- Quarterly Selling, General & Administrative has moved between $14.99 million (Q3 2021) and $43.67 million (Q4 2025) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in six of the last eight quarters, with growth averaging 9.4%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q1 2022 (growth of 75.7%); the worst was Q2 2026 (a decline of 13.8%).
- Per Business Quant data, PGNY's Selling, General & Administrative in the three quarters before Q2 2026 was $30.81 million (Q1 2026), $43.67 million (Q4 2025) and $33.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 92.33 Bn | 91.77 Bn | - | - |
| 2 | Natera | 58.66 Bn | 54.34 Bn | 485.19 Mn | 327.20 Mn |
| 3 | Quest Diagnostics | 25.51 Bn | 23.94 Bn | 1.03 Bn | 529.00 Mn |
| 4 | Labcorp Holdings | 24.64 Bn | 22.41 Bn | 1.11 Bn | 577.20 Mn |
| 5 | Guardant Health | 23.35 Bn | 19.41 Bn | 219.03 Mn | 61.66 Mn |
| 6 | Tenet Healthcare | 20.47 Bn | 11.62 Bn | - | - |
| 7 | Tempus AI | 13.40 Bn | 10.43 Bn | 246.50 Mn | 225.85 Mn |
| 8 | Encompass Health | 11.75 Bn | 12.21 Bn | - | 62.60 Mn |
| 9 | BrightSpring Health Services | 11.31 Bn | 9.65 Bn | 492.75 Mn | 362.36 Mn |
| 10 | Progyny | 1.92 Bn | 805.81 Mn | 89.30 Mn | 31.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.22 Mn |
| Mar 31, 2026 | 30.81 Mn |
| Dec 31, 2025 | 43.67 Mn |
| Sep 30, 2025 | 33.37 Mn |
| Jun 30, 2025 | 36.21 Mn |
| Mar 31, 2025 | 33.84 Mn |
| Dec 31, 2024 | 32.03 Mn |
| Sep 30, 2024 | 30.33 Mn |
| Jun 30, 2024 | 31.17 Mn |
| Mar 31, 2024 | 28.43 Mn |
| Dec 31, 2023 | 28.18 Mn |
| Sep 30, 2023 | 29.52 Mn |
| Jun 30, 2023 | 30.07 Mn |
| Mar 31, 2023 | 29.35 Mn |
| Dec 31, 2022 | 28.21 Mn |
| Sep 30, 2022 | 23.57 Mn |
| Jun 30, 2022 | 23.55 Mn |
| Mar 31, 2022 | 22.99 Mn |
| Dec 31, 2021 | 17.61 Mn |
| Sep 30, 2021 | 14.99 Mn |
Progyny 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=PGNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "PGNY", "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=PGNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();