Octave Specialty (OSG) Operating Expenses (2010 - 2026)
Octave Specialty's Operating Expenses came in at $94.67 million for Q2 2026, up 21.5% from $77.93 million a year earlier but down 12.0% from the prior quarter.
Octave Specialty (OSG) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Octave Specialty reported Operating Expenses of $398.62 million, up 19.8% year-over-year; for FY2025, it came in at $352.24 million, up 19.1% from FY2024.
- Operating Expenses has increased in each of the last three years, though with a five-year compound annual growth rate of -10.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $295.66 million in FY2024 (+98.5%), $148.95 million in FY2023 (+66.8%), $89.32 million in FY2022 (-68.2%) and $281 million in FY2021 (-52.9%).
- The five-year range for quarterly Operating Expenses is -$262 million (Q3 2022) to $155.32 million (Q4 2022).
- Year-over-year, Operating Expenses has increased for six consecutive quarters, with growth averaging 24.6% over the last six quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2022 (growth of 112.8%), and the weakest in Q3 2021 (a decline of 81.2%).
- Business Quant data shows OSG's Operating Expenses at $107.51 million (Q1 2026), $97.76 million (Q4 2025) and $98.69 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | 12.19 Bn |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | 19.40 Bn |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 5.65 Bn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | 9.39 Bn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | -902.21 Mn |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | 3.59 Bn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | 14.45 Bn |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | 3.33 Bn |
| 10 | Octave Specialty | 214.47 Mn | -307.32 Mn | 69.65 Mn | 94.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94.67 Mn |
| Mar 31, 2026 | 107.51 Mn |
| Dec 31, 2025 | 97.76 Mn |
| Sep 30, 2025 | 98.69 Mn |
| Jun 30, 2025 | 77.93 Mn |
| Mar 31, 2025 | 77.86 Mn |
| Dec 31, 2024 | 86.32 Mn |
| Sep 30, 2024 | 90.76 Mn |
| Jun 30, 2024 | 65.79 Mn |
| Mar 31, 2024 | 52.79 Mn |
| Dec 31, 2023 | -17.05 Mn |
| Sep 30, 2023 | 6.00 Mn |
| Jun 30, 2023 | 73.00 Mn |
| Mar 31, 2023 | 86.00 Mn |
| Dec 31, 2022 | 155.32 Mn |
| Sep 30, 2022 | -262.00 Mn |
| Jun 30, 2022 | 80.00 Mn |
| Mar 31, 2022 | 116.00 Mn |
| Dec 31, 2021 | 73.00 Mn |
| Sep 30, 2021 | 32.00 Mn |
Octave Specialty 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=OSG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OSG", "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=OSG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();