Upwork (UPWK) Other Operating Expenses (2017 - 2026)
Upwork (UPWK) posted Other Operating Expenses of $37.46 million for Q2 2026, down 2.5% from $38.44 million a year earlier and down 5.5% from the prior quarter.
Upwork (UPWK) Other Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Upwork was $152.22 million, down 10.7% year-over-year; for FY2025, it was $151.55 million, down 21.0% from FY2024.
- Annual Other Operating Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- In prior years, Upwork's Other Operating Expenses was $191.94 million in FY2024 (-17.9%), $233.66 million in FY2023 (-14.1%), $272.04 million in FY2022 (+43.7%) and $189.34 million in FY2021 (+38.4%).
- Quarterly Other Operating Expenses has run from a low of $37.38 million in Q3 2025 to a high of $73.31 million in Q3 2022 over five years.
- On a year-over-year basis, Other Operating Expenses increased in 1 of the last eight quarters, with an average decline of 11.8%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q3 2022, with growth of 64.5%; the weakest was Q3 2023, with a decline of 33.3%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $39.66 million (Q1 2026), $37.72 million (Q4 2025) and $37.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Upwork | 1.02 Bn | -1.49 Bn | 146.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.46 Mn |
| Mar 31, 2026 | 39.66 Mn |
| Dec 31, 2025 | 37.72 Mn |
| Sep 30, 2025 | 37.38 Mn |
| Jun 30, 2025 | 38.44 Mn |
| Mar 31, 2025 | 38.01 Mn |
| Dec 31, 2024 | 46.17 Mn |
| Sep 30, 2024 | 47.89 Mn |
| Jun 30, 2024 | 49.11 Mn |
| Mar 31, 2024 | 48.78 Mn |
| Dec 31, 2023 | 51.42 Mn |
| Sep 30, 2023 | 48.92 Mn |
| Jun 30, 2023 | 61.62 Mn |
| Mar 31, 2023 | 71.70 Mn |
| Dec 31, 2022 | 69.02 Mn |
| Sep 30, 2022 | 73.31 Mn |
| Jun 30, 2022 | 69.94 Mn |
| Mar 31, 2022 | 59.77 Mn |
| Dec 31, 2021 | 57.03 Mn |
| Sep 30, 2021 | 44.57 Mn |
Upwork Other 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=other-operating-expenses&ticker=UPWK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "UPWK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=UPWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();