Progyny (PGNY) Operating Expenses (2018 - 2026)
Progyny's Operating Expenses was $49.3 million in Q2 2026, down 9.7% from $54.62 million a year earlier but up 3.4% from the prior quarter.
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Analysis
Progyny (PGNY) Operating Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Progyny's Operating Expenses was $209.96 million through Jun 30, 2026, up 4.6% year-over-year; for FY2025, it was $219.21 million, up 17.9% from FY2024.
- Operating Expenses has now increased for eight consecutive years, with a five-year compound annual growth rate of 28.9% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $185.91 million in FY2024 (+5.3%), $176.62 million in FY2023 (+22.7%), $143.98 million in FY2022 (+80.4%) and $79.8 million in FY2021 (+29.3%).
- Quarterly Operating Expenses has moved between $19.43 million (Q3 2021) and $61.66 million (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 8.7%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 95.1%); the worst was Q2 2026 (a decline of 9.7%).
- Per Business Quant data, PGNY's Operating Expenses in the three quarters before Q2 2026 was $47.69 million (Q1 2026), $61.66 million (Q4 2025) and $51.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 100.51 Bn | 96.52 Bn | - | 17.74 Bn |
| 2 | Natera | 57.27 Bn | 52.95 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 26.09 Bn | 24.22 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 26.08 Bn | 23.83 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Tenet Healthcare | 22.29 Bn | 11.30 Bn | - | - |
| 6 | Guardant Health | 21.03 Bn | 17.09 Bn | 219.03 Mn | 464.10 Mn |
| 7 | Fresenius Medical Care AG | 12.78 Bn | 4.73 Bn | 1.52 Bn | 901.58 Mn |
| 8 | BrightSpring Health Services | 12.65 Bn | 10.98 Bn | 492.75 Mn | 362.36 Mn |
| 9 | Davita | 12.13 Bn | 9.34 Bn | 1.16 Bn | 2.98 Bn |
| 10 | Progyny | 2.18 Bn | 1.06 Bn | 89.30 Mn | 49.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.30 Mn |
| Mar 31, 2026 | 47.69 Mn |
| Dec 31, 2025 | 61.66 Mn |
| Sep 30, 2025 | 51.31 Mn |
| Jun 30, 2025 | 54.62 Mn |
| Mar 31, 2025 | 51.63 Mn |
| Dec 31, 2024 | 47.65 Mn |
| Sep 30, 2024 | 46.79 Mn |
| Jun 30, 2024 | 47.59 Mn |
| Mar 31, 2024 | 43.88 Mn |
| Dec 31, 2023 | 43.09 Mn |
| Sep 30, 2023 | 44.44 Mn |
| Jun 30, 2023 | 45.46 Mn |
| Mar 31, 2023 | 43.63 Mn |
| Dec 31, 2022 | 41.19 Mn |
| Sep 30, 2022 | 34.74 Mn |
| Jun 30, 2022 | 35.05 Mn |
| Mar 31, 2022 | 33.01 Mn |
| Dec 31, 2021 | 25.30 Mn |
| Sep 30, 2021 | 19.43 Mn |
API Access
Progyny Operating Expenses 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-expenses&ticker=PGNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PGNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();