KNOT Offshore Partners (KNOP) Accumulated Expenses (2011 - 2026)
KNOT Offshore Partners (KNOP) recorded Accumulated Expenses of $26.6 million in the quarter ended Jun 30, 2026, up 44.3% from $18.43 million a year earlier but down 1.5% from the prior quarter.
KNOT Offshore Partners (KNOP) Accumulated Expenses (2011 - 2026) Analysis & Trends
As of Dec 31, 2025, KNOT Offshore Partners reported Accumulated Expenses of $18.43 million, up 60.7% from the prior year.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 27.9% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Accumulated Expenses came in at $11.47 million in the year ended Dec 31, 2024 (-22.4%), $14.78 million in the year ended Dec 31, 2023 (+38.7%), $10.65 million in the year ended Dec 31, 2022 (+65.7%) and $6.43 million in the year ended Dec 31, 2021 (+19.5%).
- Quarterly Accumulated Expenses has ranged from $5.47 million in the quarter ended Sep 30, 2021 to $26.99 million in the quarter ended Mar 31, 2026 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for six consecutive quarters, with growth averaging 39.3% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 89.6% in the quarter ended Jun 30, 2025, against a decline of 30.0% in the quarter ended Jun 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $26.99 million (quarter ended Mar 31, 2026), $18.43 million (quarter ended Dec 31, 2025) and $17.88 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | KNOT Offshore Partners | 348.38 Mn | 348.38 Mn | 60.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.60 Mn |
| Mar 31, 2026 | 26.99 Mn |
| Dec 31, 2025 | 18.43 Mn |
| Sep 30, 2025 | 17.88 Mn |
| Jun 30, 2025 | 18.43 Mn |
| Mar 31, 2025 | 14.89 Mn |
| Dec 31, 2024 | 11.47 Mn |
| Sep 30, 2024 | 14.69 Mn |
| Jun 30, 2024 | 9.72 Mn |
| Mar 31, 2024 | 14.34 Mn |
| Dec 31, 2023 | 14.78 Mn |
| Sep 30, 2023 | 10.87 Mn |
| Jun 30, 2023 | 13.88 Mn |
| Mar 31, 2023 | 9.40 Mn |
| Dec 31, 2022 | 10.65 Mn |
| Sep 30, 2022 | 10.30 Mn |
| Jun 30, 2022 | 9.08 Mn |
| Mar 31, 2022 | 10.71 Mn |
| Dec 31, 2021 | 6.43 Mn |
| Sep 30, 2021 | 5.47 Mn |
KNOT Offshore Partners Accumulated 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=accumulated-expenses&ticker=KNOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "KNOP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=KNOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();