Upwork (UPWK) Other Operating Expenses (2017 - 2026)
Upwork's Other Operating Expenses was $25.59 million in Q3 2026, down 34.4% from $39.03 million a year earlier and down 29.0% from the prior quarter.
Upwork (UPWK) Other Operating Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Upwork's Other Operating Expenses was $141.1 million through Sep 30, 2026, down 20.8% year-over-year; for FY2025, it came in at $162.34 million, down 28.5% from FY2024.
- Other Operating Expenses has now declined for three consecutive years, though with a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $227.13 million in FY2024 (-5.6%), $240.57 million in FY2023 (-9.6%), $266.19 million in FY2022 (+53.9%) and $172.92 million in FY2021 (+49.1%).
- The Q3 2026 figure marks the lowest quarterly Other Operating Expenses since Q4 2019.
- Compared with a year earlier, Other Operating Expenses has declined for seven straight quarters, with an average decline of 19.7% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q4 2021 (growth of 81.8%); the worst was Q3 2026 (a decline of 34.4%).
- Per Business Quant data, UPWK's Other Operating Expenses in the three quarters before Q3 2026 was $36.07 million (Q2 2026), $38.33 million (Q1 2026) and $41.11 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - |
| 10 | Upwork | 1.22 Bn | -951.96 Mn | 141.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.01 Mn |
| 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 |
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();