Rum (RUM) Operating Expenses (2021 - 2026)
Rum (RUM) posted Operating Expenses of $111.15 million for Q2 2026, up 114.9% from $51.72 million a year earlier.
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Analysis
Rum (RUM) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Rum was $278.34 million, up 24.2% year-over-year; for FY2025, it came in at $227.28 million, up 0.4% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 1019.2% (FY2020 to FY2025).
- In prior years, Rum's Operating Expenses was $226.34 million in FY2024 (+4.5%), $216.51 million in FY2023 (+188.7%), $74.98 million in FY2022 (+275.3%) and $19.98 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2021.
- On a year-over-year basis, Operating Expenses increased in three of the last seven quarters, with growth averaging 16.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2022, with growth of 922.9%; the weakest was Q2 2025, with a decline of 15.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Rum | 1.66 Bn | 667.57 Mn | - | 111.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 111.15 Mn |
| Dec 31, 2025 | 62.56 Mn |
| Sep 30, 2025 | 52.90 Mn |
| Jun 30, 2025 | 51.72 Mn |
| Mar 31, 2025 | 60.09 Mn |
| Dec 31, 2024 | 54.45 Mn |
| Sep 30, 2024 | 57.87 Mn |
| Jun 30, 2024 | 61.28 Mn |
| Mar 31, 2024 | 52.74 Mn |
| Dec 31, 2023 | 57.60 Mn |
| Sep 30, 2023 | 58.20 Mn |
| Jun 30, 2023 | 59.47 Mn |
| Mar 31, 2023 | 41.24 Mn |
| Dec 31, 2022 | 39.20 Mn |
| Sep 30, 2022 | 18.74 Mn |
| Jun 30, 2022 | 9.10 Mn |
| Mar 31, 2022 | 7.97 Mn |
| Dec 31, 2021 | 16.21 Mn |
| Sep 30, 2021 | 1.83 Mn |
| Jun 30, 2021 | 331,343.00 |
API Access
Rum 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=RUM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RUM", "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=RUM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();