Grindr (GRND) Operating Expenses (2021 - 2026)
Grindr (GRND) recorded Operating Expenses of $105.64 million in Q2 2026, up 32.3% from $79.87 million a year earlier and up 21.1% from the prior quarter.
Grindr (GRND) Operating Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, Grindr's Operating Expenses came in at $358.04 million as of Jun 30, 2026, up 24.9% year-over-year; for FY2025, it was $313.61 million, up 24.4% from FY2024.
- Annual Operating Expenses has increased for four straight years, with a five-year compound annual growth rate of 378.6% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $252.04 million in FY2024 (+23.4%), $204.24 million in FY2023 (+12.2%), $181.98 million in FY2022 (+49.0%) and $122.12 million in FY2021.
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q4 2021.
- On a year-over-year basis, Operating Expenses has increased for 12 consecutive quarters, with growth averaging 26.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 38.6% in Q4 2024, against a decline of 56.8% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $87.21 million (Q1 2026), $94.67 million (Q4 2025) and $70.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Grindr | 2.71 Bn | 2.59 Bn | 103.57 Mn | 105.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.64 Mn |
| Mar 31, 2026 | 87.21 Mn |
| Dec 31, 2025 | 94.67 Mn |
| Sep 30, 2025 | 70.53 Mn |
| Jun 30, 2025 | 79.87 Mn |
| Mar 31, 2025 | 68.55 Mn |
| Dec 31, 2024 | 77.22 Mn |
| Sep 30, 2024 | 60.94 Mn |
| Jun 30, 2024 | 57.79 Mn |
| Mar 31, 2024 | 56.09 Mn |
| Dec 31, 2023 | 55.73 Mn |
| Sep 30, 2023 | 53.69 Mn |
| Jun 30, 2023 | 47.61 Mn |
| Mar 31, 2023 | 47.22 Mn |
| Dec 31, 2022 | 52.09 Mn |
| Sep 30, 2022 | 46.54 Mn |
| Jun 30, 2022 | 48.60 Mn |
| Mar 31, 2022 | 34.75 Mn |
| Dec 31, 2021 | 120.62 Mn |
| Sep 30, 2021 | 666,952.00 |
Grindr 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=GRND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GRND", "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=GRND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();